Triple
T21458615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinner |
E529407
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Pinner High Street |
—
|
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: Pinner High Street | Statement: [Pinner, hasLandmark, Pinner High Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinner High Street Context triple: [Pinner, hasLandmark, Pinner High Street]
-
A.
Pinner High Street
chosen
Pinner High Street is the main commercial and historic shopping street in the suburban area of Pinner in northwest London.
-
B.
Lewisham High Street
Lewisham High Street is a major shopping and transport thoroughfare in the London Borough of Lewisham, known for its busy retail area and connections to central London.
-
C.
Carshalton High Street
Carshalton High Street is the main commercial and shopping thoroughfare in the suburban area of Carshalton in the London Borough of Sutton, England.
-
D.
Ruislip High Street
Ruislip High Street is the main commercial and shopping street in the suburban area of Ruislip in northwest London.
-
E.
Solihull High Street
Solihull High Street is the main shopping and commercial street in the town of Solihull, England, featuring a mix of retail stores, cafes, and historic buildings.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:08 p.m.