Triple
T23221198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitaker, Pennsylvania |
E580896
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Munhall, 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: Munhall, Pennsylvania | Statement: [Whitaker, Pennsylvania, isNear, Munhall, Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munhall, Pennsylvania Context triple: [Whitaker, Pennsylvania, isNear, Munhall, Pennsylvania]
-
A.
Munhall, Pennsylvania
chosen
Munhall, Pennsylvania is a borough in Allegheny County near Pittsburgh, historically tied to the steel industry and the Homestead Steel Works.
-
B.
Brookhaven, Pennsylvania
Brookhaven, Pennsylvania is a small suburban borough in southeastern Pennsylvania, located near Philadelphia in Delaware County.
-
C.
Hillsdale, Pennsylvania
Hillsdale, Pennsylvania is a small community located within the Ligonier Valley region of western Pennsylvania.
-
D.
Mifflintown, Pennsylvania
Mifflintown, Pennsylvania is a small borough in central Pennsylvania that serves as the county seat of Juniata County.
-
E.
Mount Pleasant, Pennsylvania
Mount Pleasant, Pennsylvania is a small borough in Westmoreland County known historically for its coal mining and glass manufacturing industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1922924308190a26b00e09ce60ecd |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:08 p.m.