Triple
T3862797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirrel Hill |
E90178
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Shadyside |
E295331
|
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: Shadyside | Statement: [Squirrel Hill, adjacentTo, Shadyside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shadyside Context triple: [Squirrel Hill, adjacentTo, Shadyside]
-
A.
Shadyside (Pittsburgh)
chosen
Shadyside is a historic, upscale Pittsburgh neighborhood known for its tree-lined residential streets, boutique shopping districts, and vibrant dining and nightlife.
-
B.
Millcreek
Millcreek is a suburban city in central Utah that functions as part of the Salt Lake City metropolitan area.
-
C.
Rowtown
Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
-
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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec2417648190ad010189d304d119 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123802248190b03a887d3a4e762f |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.