Triple
T993337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Army Engineer Research and Development Center |
E21439
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Geotechnical and Structures Laboratory
The Geotechnical and Structures Laboratory is a U.S. Army research facility specializing in geotechnical engineering, structural mechanics, and related technologies to support military and civil infrastructure.
|
E117002
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Geotechnical and Structures Laboratory | Statement: [U.S. Army Engineer Research and Development Center, hasPart, Geotechnical and Structures Laboratory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geotechnical and Structures Laboratory Context triple: [U.S. Army Engineer Research and Development Center, hasPart, Geotechnical and Structures Laboratory]
-
A.
Structures and Materials laboratories
Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
-
B.
Earth Resources Laboratory
Earth Resources Laboratory is a research center at MIT focused on applying geophysical and related sciences to the exploration and sustainable management of Earth’s natural resources.
-
C.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
-
D.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
E.
Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Geotechnical and Structures Laboratory Triple: [U.S. Army Engineer Research and Development Center, hasPart, Geotechnical and Structures Laboratory]
Generated description
The Geotechnical and Structures Laboratory is a U.S. Army research facility specializing in geotechnical engineering, structural mechanics, and related technologies to support military and civil infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geotechnical and Structures Laboratory Target entity description: The Geotechnical and Structures Laboratory is a U.S. Army research facility specializing in geotechnical engineering, structural mechanics, and related technologies to support military and civil infrastructure.
-
A.
Structures and Materials laboratories
Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
-
B.
Earth Resources Laboratory
Earth Resources Laboratory is a research center at MIT focused on applying geophysical and related sciences to the exploration and sustainable management of Earth’s natural resources.
-
C.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
-
D.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
E.
Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c5e16881908cd5f7ba2fcd5084 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac25919bcc8190886f19405536681b |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac269b2054819081e17a1c13068c1b |
completed | March 7, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac26f947d481908ab1b7115cf9dee7 |
completed | March 7, 2026, 1:24 p.m. |
Created at: March 1, 2026, 7:41 p.m.