Triple
T4903616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegheny County Council |
E109861
|
entity |
| Predicate | hasDistrictMembers |
P60565
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Allegheny County Council, hasDistrictMembers, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistrictMembers Context triple: [Allegheny County Council, hasDistrictMembers, 13]
-
A.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
B.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
-
C.
hasTribalMembersFrom
Indicates that an entity includes or is composed of members originating from a specified tribe or tribal group.
-
D.
hasExtantMembers
Indicates that the referenced group, category, or lineage currently has living or existing members.
-
E.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69bd7060f9988190afdf98eb0a38515d |
completed | March 20, 2026, 4:05 p.m. |
Created at: March 20, 2026, 1:28 p.m.