Triple
T18916052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 122 Bishopsgate |
E462726
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Broadgate |
—
|
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: Broadgate | Statement: [122 Bishopsgate, isPartOf, Broadgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broadgate Context triple: [122 Bishopsgate, isPartOf, Broadgate]
-
A.
Broadgate
chosen
Broadgate is a major office and retail complex in the City of London, known for its modern architecture, public squares, and proximity to Liverpool Street station.
-
B.
Wallgate
Wallgate is a street in the center of Wigan, England, known for giving its name to the nearby Wigan Wallgate railway station.
-
C.
Kirkhamgate
Kirkhamgate is a small village and residential community within the metropolitan borough of the City of Wakefield in West Yorkshire, England.
-
D.
Moorgate
Moorgate is a historic financial and commercial area in central London, known for its offices, transport links, and proximity to the heart of the City’s banking district.
-
E.
Queensgate
Queensgate is an industrial and commercial neighborhood on the west side of downtown Cincinnati, Ohio.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62685408190b17280147e1c247a |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.