Triple
T275806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey Americans |
E5246
|
entity |
| Predicate | relocationReason |
P3057
|
FINISHED |
| Object | arena issues at Teaneck Armory |
—
|
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: arena issues at Teaneck Armory | Statement: [New Jersey Americans, relocationReason, arena issues at Teaneck Armory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relocationReason Context triple: [New Jersey Americans, relocationReason, arena issues at Teaneck Armory]
-
A.
reasonForRelocation
chosen
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
B.
relocatedTo
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
C.
relocatedFrom
Indicates that an entity has moved or been transferred away from a specified original location.
-
D.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
E.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
- F. None of above.
Provenance (3 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.