Triple
T8314099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniontown metropolitan area |
E194660
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Uniontown |
E36837
|
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: Uniontown | Statement: [Uniontown metropolitan area, namedAfter, Uniontown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uniontown Context triple: [Uniontown metropolitan area, namedAfter, Uniontown]
-
A.
Mahoningtown
Mahoningtown is a neighborhood and former independent community now incorporated into the city of New Castle in western Pennsylvania.
-
B.
Mahoning Township
Mahoning Township is a municipal township located in Lawrence County in western Pennsylvania, United States.
-
C.
Lastoursville
Lastoursville is a town in central Gabon known as a regional hub along the Trans-Gabon Railway and for its nearby cave systems and karst landscapes.
-
D.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
E.
Union Town
chosen
Union Town was the original name given to what is now Uniontown, Pennsylvania, a historic city in Fayette County known for its role in early American frontier and industrial development.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f52c5cc8190b5a95ee0aa4ddda5 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39403b548190aa7460a41b59011b |
completed | April 2, 2026, 9:39 a.m. |
Created at: March 30, 2026, 5:55 p.m.