Triple
T20037401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swisshelm Park |
E497311
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Regent Square |
—
|
NE NERFINISHED |
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: Regent Square | Statement: [Swisshelm Park, near, Regent Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regent Square Context triple: [Swisshelm Park, near, Regent Square]
-
A.
Regent Square
chosen
Regent Square is a leafy, historic Pittsburgh neighborhood known for its walkable streets, classic homes, and proximity to Frick Park.
-
B.
Lismore Square
Lismore Square is a local shopping centre serving the retail and service needs of the community in Lismore, Ireland.
-
C.
Georgetown Square
Georgetown Square is the historic downtown district of Georgetown, Texas, known for its preserved Victorian-era architecture, local shops, restaurants, and community events.
-
D.
Havelock Square
Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
-
E.
Waverley Square
Waverley Square is a commercial and transit-oriented neighborhood in Belmont, Massachusetts, known for its local shops and MBTA commuter rail station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e935ac8190900cdb4f0cfde505 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.