Triple
T22005565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bor |
E543442
|
entity |
| Predicate | hasEntrance |
P6140
|
FINISHED |
| Object | Borough 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: Borough High Street | Statement: [Bor, hasEntrance, Borough High Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borough High Street Context triple: [Bor, hasEntrance, Borough High Street]
-
A.
Borough High Street
chosen
Borough High Street is a historic main thoroughfare in Southwark, London, known for its markets, pubs, and role as a gateway between central London and the south.
-
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.
Bromley High Street
Bromley High Street is the main commercial and shopping thoroughfare in the town of Bromley in southeast London, lined with retail stores, restaurants, and local amenities.
-
D.
High Street
High Street is a central thoroughfare in Liverpool, England, situated in the historic commercial core near Liverpool Town Hall.
-
E.
High Street
High Street is a major commercial thoroughfare and shopping district in San Fernando, Trinidad and Tobago.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.