Triple
T6916926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watervliet, New York |
E160079
|
entity |
| Predicate | arsenalRole |
P74123
|
FINISHED |
| Object | primary manufacturer of large-caliber cannon for the U.S. Army |
—
|
LITERAL FINISHED |
How this triple was built (2 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: primary manufacturer of large-caliber cannon for the U.S. Army | Statement: [Watervliet, New York, arsenalRole, primary manufacturer of large-caliber cannon for the U.S. Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arsenalRole Context triple: [Watervliet, New York, arsenalRole, primary manufacturer of large-caliber cannon for the U.S. Army]
-
A.
postArsenalRole
Indicates the role or position an entity holds after their time or involvement with Arsenal has ended.
-
B.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
C.
roleInManchesterCity
Indicates that an entity holds or has held a specific role or position within Manchester City Football Club.
-
D.
roleInFootballHistory
Indicates the specific part or significance an entity has within the historical development, events, or legacy of football.
-
E.
sonRole
Indicates that one entity holds the role or relationship of a son with respect to another entity.
- F. None of above. chosen
Provenance (4 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e034cc81908f1e8f31b055e119 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:26 p.m.