Triple
T5583390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethel Park |
E146692
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Mt. Lebanon |
E109863
|
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: Mt. Lebanon | Statement: [Bethel Park, borderedBy, Mt. Lebanon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mt. Lebanon Context triple: [Bethel Park, borderedBy, Mt. Lebanon]
-
A.
Mt. Lebanon
chosen
Mt. Lebanon is a suburban municipality just south of Pittsburgh, Pennsylvania, known for its residential neighborhoods, strong school system, and walkable business districts.
-
B.
Cleveland Hills
The Cleveland Hills are a range of hills in northern England known for their moorland landscapes and as part of the North York Moors.
-
C.
Mount Lebanon
Mount Lebanon is a historic mountainous region in modern-day Lebanon that has long served as a cultural and political heartland for the Druze community.
-
D.
Penn Hills
Penn Hills is a suburban municipality in western Pennsylvania, located just east of Pittsburgh in Allegheny County.
-
E.
Summit Hill
Summit Hill is a historic, upscale residential neighborhood in Saint Paul, Minnesota, known for its Victorian-era homes and proximity to Grand Avenue’s shops and restaurants.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02084b5f0819089b62283c57704ec |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2aab348190944cca5375e0ddb9 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.