Triple
T3736372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bond Street |
E79594
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mayfair art market |
E11937
|
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: Mayfair art market | Statement: [Bond Street, associatedWith, Mayfair art market]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayfair art market Context triple: [Bond Street, associatedWith, Mayfair art market]
-
A.
Mayfair
Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
-
B.
Soho
Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
-
C.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
D.
Chelsea art district
The Chelsea art district is a prominent Manhattan neighborhood renowned for its dense concentration of contemporary art galleries, cultural institutions, and converted industrial spaces.
-
E.
Mayfair, London, England
chosen
Mayfair, London, England is an affluent central London district known for its luxury residences, exclusive shops, and prestigious hotels and clubs.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3b399c819091b42209925c0d8f |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1e4cc48190bfc1078e9b06d2d9 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.