Triple
T8131727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picatinny Arsenal |
E189866
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
PICA
PICA is the abbreviation for Picatinny Arsenal, a U.S. Army research and manufacturing facility specializing in armaments and munitions development.
|
E713985
|
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: PICA | Statement: [Picatinny Arsenal, hasAbbreviation, PICA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PICA Context triple: [Picatinny Arsenal, hasAbbreviation, PICA]
-
A.
PICA-X
PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
-
B.
Pikiell
Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
-
C.
PIK
PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
-
D.
PIK
PIK is the three-letter IATA airport code for Glasgow Prestwick Airport in South Ayrshire, Scotland.
-
E.
PICA format
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
- 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: PICA Triple: [Picatinny Arsenal, hasAbbreviation, PICA]
Generated description
PICA is the abbreviation for Picatinny Arsenal, a U.S. Army research and manufacturing facility specializing in armaments and munitions development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PICA Target entity description: PICA is the abbreviation for Picatinny Arsenal, a U.S. Army research and manufacturing facility specializing in armaments and munitions development.
-
A.
PICA-X
PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
-
B.
Pikiell
Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
-
C.
PIK
PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
-
D.
PIK
PIK is the three-letter IATA airport code for Glasgow Prestwick Airport in South Ayrshire, Scotland.
-
E.
PICA format
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b96cd481908c0679050c35d83f |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9482113881909439c9e43fbc933f |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c0b19881908521cce5ac0fe197 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc970698f88190a0869515904e50e3 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:34 p.m.