Triple
T5858151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Hills |
E130205
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | West Mifflin |
E494839
|
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: West Mifflin | Statement: [South Hills, contains, West Mifflin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Mifflin Context triple: [South Hills, contains, West Mifflin]
-
A.
West Mifflin, Pennsylvania
chosen
West Mifflin, Pennsylvania is a suburban borough near Pittsburgh best known as the home of the historic Kennywood amusement park and a mix of residential, commercial, and industrial areas.
-
B.
Monessen
Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
-
C.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
D.
McKeesport
McKeesport is a city in southwestern Pennsylvania located near the confluence of the Monongahela and Youghiogheny Rivers, historically known for its steel industry.
-
E.
Aliquippa
Aliquippa is a small industrial city in western Pennsylvania known historically for its steel production and location along the Ohio 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358654e48190908e7390a0164726 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107f608c48190b613741bf2686af7 |
completed | March 23, 2026, 9:29 a.m. |
Created at: March 22, 2026, 3:56 p.m.