Triple
T19469367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City community boards |
E487080
|
entity |
| Predicate | numberOfMembersPerBoard |
P3128
|
FINISHED |
| Object | up to 50 voting members |
—
|
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: up to 50 voting members | Statement: [New York City community boards, numberOfMembersPerBoard, up to 50 voting members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersPerBoard Context triple: [New York City community boards, numberOfMembersPerBoard, up to 50 voting members]
-
A.
numberOfBoardMembers
chosen
Indicates the total count of individuals who serve as members on a board.
-
B.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
C.
numberOfAreaBoards
Indicates the total count of area boards associated with or defined for a given entity or context.
-
D.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
E.
numberOfMemberOrganizations
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
- 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.