Triple
T4903617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegheny County Council |
E109861
|
entity |
| Predicate | hasAtLargeMembers |
P17214
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Allegheny County Council, hasAtLargeMembers, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtLargeMembers Context triple: [Allegheny County Council, hasAtLargeMembers, 2]
-
A.
numberOfAtLargeSeats
chosen
Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an entity.
-
B.
hasNonvotingMember
Indicates that an entity is associated with a member who participates in some capacity but does not possess formal voting rights in the relevant decision-making process.
-
C.
hasPermanentMembers
Indicates that certain members of a group or organization hold ongoing, non-temporary membership status.
-
D.
hasPresidentialMember
Indicates that an entity includes or is associated with a member who holds or has held the position of president.
-
E.
hasMajorityPartyMembers
Indicates that a group, body, or organization contains more members from a particular political party than from any other party, giving that party majority representation.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:28 p.m.