Triple
T11786833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westmoreland County |
E280289
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Greensburg |
E108849
|
NE 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: Greensburg | Statement: [Westmoreland County, hasCity, Greensburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greensburg Context triple: [Westmoreland County, hasCity, Greensburg]
-
A.
Greensburg, Pennsylvania
chosen
Greensburg, Pennsylvania is a small city in southwestern Pennsylvania known as a regional center for education, culture, and commerce within the Pittsburgh metropolitan area.
-
B.
Wilkes-Barre
Wilkes-Barre is a small city in northeastern Pennsylvania known for its location along the Susquehanna River and its historical ties to coal mining and industry.
-
C.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
D.
Beaver Falls
Beaver Falls is a series of striking turquoise-blue waterfalls and pools along Havasu Creek in the Grand Canyon, renowned for their scenic beauty and popularity among hikers visiting Havasupai lands.
-
E.
Beaver Falls
Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a1d244c81908628b01afe467023 |
completed | May 1, 2026, 11:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.