Triple
T345360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Court of Appeals |
E6927
|
entity |
| Predicate | hearingFormat |
P130
|
FINISHED |
| Object | panel of all seven judges |
—
|
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: panel of all seven judges | Statement: [New York Court of Appeals, hearingFormat, panel of all seven judges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearingFormat Context triple: [New York Court of Appeals, hearingFormat, panel of all seven judges]
-
A.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
B.
hasAudiobookVersion
Indicates that an entity has a corresponding version available in audiobook format.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
-
E.
hasDigitalForm
Indicates that something exists or is available in a digital or electronic format.
- 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.