Triple
T22961125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spokane County Library District |
E570899
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Argonne Library |
—
|
NE NERFINISHED |
How this triple was built (3 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: Argonne Library | Statement: [Spokane County Library District, hasPart, Argonne Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argonne Library Context triple: [Spokane County Library District, hasPart, Argonne Library]
-
A.
Argonne National Laboratory
Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
-
B.
White Oak Federal Research Center
White Oak Federal Research Center is a major U.S. federal campus in Maryland that houses key Food and Drug Administration facilities and laboratories.
-
C.
Ames National Laboratory
Ames National Laboratory is a U.S. Department of Energy research facility in Iowa known for its pioneering work in materials science, chemistry, and energy-related technologies.
-
D.
Argonne
Argonne is a forested region in northeastern France known for its rugged terrain and significant battles during World War I.
-
E.
Centennial Science and Engineering Library
Centennial Science and Engineering Library is a specialized academic library at the University of New Mexico that focuses on supporting research and study in the science and engineering disciplines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Argonne Library Target entity description: Argonne Library is a public library branch serving the community within the Spokane County Library District in Washington State.
-
A.
Argonne National Laboratory
Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
-
B.
White Oak Federal Research Center
White Oak Federal Research Center is a major U.S. federal campus in Maryland that houses key Food and Drug Administration facilities and laboratories.
-
C.
Ames National Laboratory
Ames National Laboratory is a U.S. Department of Energy research facility in Iowa known for its pioneering work in materials science, chemistry, and energy-related technologies.
-
D.
Argonne
Argonne is a forested region in northeastern France known for its rugged terrain and significant battles during World War I.
-
E.
Centennial Science and Engineering Library
Centennial Science and Engineering Library is a specialized academic library at the University of New Mexico that focuses on supporting research and study in the science and engineering disciplines.
- F. None of above. chosen
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f494348190a24f09d3495b0950 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.