Triple
T7378596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caxton Hall |
E170188
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Caxton Street |
E170188
|
NE FINISHED |
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: Caxton Street | Statement: [Caxton Hall, locatedOn, Caxton Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caxton Street Context triple: [Caxton Hall, locatedOn, Caxton Street]
-
A.
Caxton Street
chosen
Caxton Street is a street in Westminster, central London, known for housing the historic Caxton Hall building.
-
B.
Abingdon Street
Abingdon Street is a road in Westminster, London, running near the Houses of Parliament and forming part of the area around Parliament Square.
-
C.
Ebury Street
Ebury Street is a street in the Belgravia area of central London, known for its Georgian architecture and historic literary and musical associations.
-
D.
Barnsbury Street
Barnsbury Street is a residential and commercial street in the Barnsbury area of Islington, north London, known for its Georgian and Victorian terraced houses.
-
E.
Bermondsey Street
Bermondsey Street is a historic and increasingly fashionable street in the London Borough of Southwark, known for its independent shops, restaurants, galleries, and proximity to attractions like Tower Bridge and London Bridge.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c4ad0081909386fbef9f61ae4c |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d406e2c8190ad27f3a5276be25f |
completed | April 19, 2026, 1:17 a.m. |
Created at: March 27, 2026, 3:08 p.m.