Triple
T29232024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafford, Pennsylvania |
E741094
|
entity |
| Predicate | isPartiallyInCounty |
P178608
|
FINISHED |
| Object | Allegheny County, Pennsylvania |
—
|
NE NERFINISHED |
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, Pennsylvania | Statement: [Trafford, Pennsylvania, isPartiallyInCounty, Allegheny County, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartiallyInCounty Context triple: [Trafford, Pennsylvania, isPartiallyInCounty, Allegheny County, Pennsylvania]
-
A.
partiallyInCounty
chosen
Indicates that an entity’s spatial extent overlaps with, but is not entirely contained within, a given county.
-
B.
isInCountySubdivision
Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
-
C.
isPortionOfCountyIncludedInCongressionalDistrict
Indicates that a specific part of a county lies within the boundaries of a particular congressional district.
-
D.
isOnlyInCounty
Indicates that an entity exists or occurs exclusively within a single specified county and not in any other county.
-
E.
isInCountySeatCounty
Indicates that a given place is located within the county that serves as the county seat for a specified jurisdiction.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: April 28, 2026, 12:19 p.m.