Triple
T2178079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegheny, Pennsylvania |
E48576
|
entity |
| Predicate | historicalCountySeatOf |
P13121
|
FINISHED |
| Object | Allegheny County (for a period) |
—
|
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: Allegheny County (for a period) | Statement: [Allegheny, Pennsylvania, historicalCountySeatOf, Allegheny County (for a period)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalCountySeatOf Context triple: [Allegheny, Pennsylvania, historicalCountySeatOf, Allegheny County (for a period)]
-
A.
hasHistoricCountySeat
chosen
Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
-
B.
usedToBeSeatOf
Indicates that an entity previously served as the official seat or administrative center of another entity, but no longer holds that status.
-
C.
hasCountySeatOn
Indicates that a county’s administrative center (county seat) is located on or adjacent to a specified geographic feature or infrastructure.
-
D.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
E.
historicalCounty
Indicates that an entity was located within or associated with a county as it existed in the past, even if that county’s boundaries or administrative status have since changed.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.