Triple
T18535109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tooley Street |
E452943
|
entity |
| Predicate | hasJunctionWith |
P1018
|
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: [Tooley Street, hasJunctionWith, Borough High Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borough High Street Context triple: [Tooley Street, hasJunctionWith, 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.
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.
-
C.
High Street
High Street is the main commercial and social thoroughfare in the coastal town of Burntisland, Scotland, lined with shops, services, and local businesses.
-
D.
High Street
High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
-
E.
High Street
High Street is the main historic thoroughfare running through the center of Oxford, England, known for its university colleges, shops, and landmark 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5340193588190ace2c09c6a94cf81 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.