Triple
T6512302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stirling Moss |
E150163
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Mayfair, London |
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, London | Statement: [Stirling Moss, residence, Mayfair, London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayfair, London Context triple: [Stirling Moss, residence, Mayfair, London]
-
A.
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.
-
B.
Mayfair
Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
-
C.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
D.
Savoy, London
Savoy, London is a historic area on the Strand in central London, known for its royal associations and landmarks such as the Savoy Hotel and Savoy Theatre.
-
E.
Belgravia, London, England
Belgravia, London, England is an affluent central London district known for its grand terraces, garden squares, and status as one of the city's most prestigious residential areas.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6421748190b8f2b77c77b153bc |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:44 p.m.