Triple
T6595518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent Square |
E148464
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Swissvale |
E138878
|
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: Swissvale | Statement: [Regent Square, adjacentTo, Swissvale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swissvale Context triple: [Regent Square, adjacentTo, Swissvale]
-
A.
Swissvale, Pennsylvania
chosen
Swissvale, Pennsylvania is a residential borough in Allegheny County near Pittsburgh, known for its historic neighborhoods and proximity to major urban amenities.
-
B.
Monessen
Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
-
C.
Wilkinsburg
Wilkinsburg is a borough in Allegheny County, Pennsylvania, known as an inner-ring suburb directly east of Pittsburgh.
-
D.
Bethel Park
Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
-
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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aed289448190a13c77085bccb006 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42fc9ec8190a6bb19010337d516 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:55 p.m.