Triple
T5583387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethel Park |
E146692
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Whitehall
Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
|
E532628
|
NE FINISHED |
How this triple was built (4 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: Whitehall | Statement: [Bethel Park, borderedBy, Whitehall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehall Context triple: [Bethel Park, borderedBy, Whitehall]
-
A.
Whitehall
Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
-
B.
Whitehall
Whitehall is a grand Gilded Age mansion in Palm Beach, Florida, built by Henry Flagler and now preserved as the Flagler Museum.
-
C.
Whitehall
Whitehall is the central London district that serves as the administrative heart of the United Kingdom, housing many key government departments and ministries.
-
D.
Pentagon Row
Pentagon Row is a mixed-use shopping, dining, and residential complex in Arlington, Virginia, known for its outdoor plaza and seasonal ice skating rink near the Pentagon City area.
-
E.
Whitehall Terminal
Whitehall Terminal is the Manhattan ferry terminal that serves as the primary departure and arrival point for the Staten Island Ferry across New York Harbor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Whitehall Triple: [Bethel Park, borderedBy, Whitehall]
Generated description
Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitehall Target entity description: Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
-
A.
Whitehall
Whitehall is the central London district that serves as the administrative heart of the United Kingdom, housing many key government departments and ministries.
-
B.
Whitehall
Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
-
C.
Whitehall
Whitehall is a grand Gilded Age mansion in Palm Beach, Florida, built by Henry Flagler and now preserved as the Flagler Museum.
-
D.
Pentagon Row
Pentagon Row is a mixed-use shopping, dining, and residential complex in Arlington, Virginia, known for its outdoor plaza and seasonal ice skating rink near the Pentagon City area.
-
E.
Whitehall Terminal
Whitehall Terminal is the Manhattan ferry terminal that serves as the primary departure and arrival point for the Staten Island Ferry across New York Harbor.
- F. None of above. chosen
Provenance (5 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_69c02822fb80819087474c37d6dc4d2b |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c03f8b6e948190870b98d6d69193fe |
completed | March 22, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0404aedc08190a9b146466486be6e |
completed | March 22, 2026, 7:17 p.m. |
Created at: March 22, 2026, 3:37 p.m.