Triple
T12796631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlington Gardens |
E305905
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Savile Row |
E69780
|
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: Savile Row | Statement: [Burlington Gardens, adjacentTo, Savile Row]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savile Row Context triple: [Burlington Gardens, adjacentTo, Savile Row]
-
A.
Savile Row
chosen
Savile Row is a famous street in London renowned as the historic home of traditional bespoke men’s tailoring.
-
B.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
C.
Earlscourt
Earlscourt is a historic working-class neighbourhood in Toronto, Ontario, known for its early 20th-century immigrant communities, particularly Italian and British residents.
-
D.
Jermyn Street
Jermyn Street is a historic street in London’s St James’s district, renowned for its traditional gentlemen’s outfitters, shirtmakers, and classic British menswear shops.
-
E.
Mulliner
Mulliner is Bentley’s bespoke coachbuilding and personalization division, renowned for crafting highly customized, ultra-luxury versions of the brand’s vehicles.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850d6ebc8190aaffcac09f4b15eb |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.