Triple
T345328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Court of Appeals |
E6927
|
entity |
| Predicate | hasPositions |
P8266
|
FINISHED |
| Object | Chief Judge of the New York Court of Appeals |
—
|
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: Chief Judge of the New York Court of Appeals | Statement: [New York Court of Appeals, hasPositions, Chief Judge of the New York Court of Appeals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositions Context triple: [New York Court of Appeals, hasPositions, Chief Judge of the New York Court of Appeals]
-
A.
hasPositionOn
chosen
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
B.
numberOfPositions
Indicates the total count of distinct positions or roles associated with a given entity.
-
C.
hasCoordinates
Indicates that an entity is associated with specific spatial coordinates that define its position in a given reference system.
-
D.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
E.
appliesToPosition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb01261c81909280128b5ce75eff |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.