Triple
T19469383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City community boards |
E487080
|
entity |
| Predicate | typicalCommittees |
P14616
|
FINISHED |
| Object | land use committee |
—
|
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: land use committee | Statement: [New York City community boards, typicalCommittees, land use committee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCommittees Context triple: [New York City community boards, typicalCommittees, land use committee]
-
A.
hasStandingCommittees
chosen
Indicates that an entity maintains one or more permanent (standing) committees as part of its organizational structure.
-
B.
hasSpecialCommittees
Indicates that an entity possesses or is associated with one or more designated special committees.
-
C.
isStandingCommitteeOf
Indicates that a committee is a permanent (standing) body formally established as part of, and operating under, a specific parent organization or legislative body.
-
D.
oneOfSixMainCommitteesOf
Indicates that the subject entity is one of the six principal committees associated with or belonging to the object entity.
-
E.
hasSelectCommittees
Indicates that an entity possesses or is associated with one or more select committees.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e6fd988190b79be580b65746fe |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.