Triple
T555755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayfair |
E11937
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Savile Row
Savile Row is a famous street in London renowned as the historic home of traditional bespoke men’s tailoring.
|
E69780
|
NE FINISHED |
How this triple was built (4 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: [Mayfair, hasStreet, Savile Row]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savile Row Context triple: [Mayfair, hasStreet, Savile Row]
-
A.
Marylebone
Marylebone is a central London district in the City of Westminster, known for its elegant Georgian architecture, upscale shopping streets, and cultural landmarks.
-
B.
Grosvenor
Grosvenor is the middle name of Bertram Grosvenor Goodhue, a prominent American architect and designer known for his influential early 20th-century works.
-
C.
Pall Mall, London
Pall Mall, London is a historic street in the City of Westminster known for its gentlemen’s clubs, royal and government buildings, and proximity to St James’s Palace and The Mall.
-
D.
Soho
Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
-
E.
Hyde Park Corner
Hyde Park Corner is a major road junction and public space in central London, situated near Hyde Park and known for its memorials and heavy traffic.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Savile Row Triple: [Mayfair, hasStreet, Savile Row]
Generated description
Savile Row is a famous street in London renowned as the historic home of traditional bespoke men’s tailoring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savile Row Target entity description: Savile Row is a famous street in London renowned as the historic home of traditional bespoke men’s tailoring.
-
A.
Marylebone
Marylebone is a central London district in the City of Westminster, known for its elegant Georgian architecture, upscale shopping streets, and cultural landmarks.
-
B.
Grosvenor
Grosvenor is the middle name of Bertram Grosvenor Goodhue, a prominent American architect and designer known for his influential early 20th-century works.
-
C.
Pall Mall, London
Pall Mall, London is a historic street in the City of Westminster known for its gentlemen’s clubs, royal and government buildings, and proximity to St James’s Palace and The Mall.
-
D.
Soho
Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
-
E.
Hyde Park Corner
Hyde Park Corner is a major road junction and public space in central London, situated near Hyde Park and known for its memorials and heavy traffic.
- F. None of above. chosen
Provenance (5 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e644f41c819099743a6c4f2815e4 |
completed | March 2, 2026, 1:22 a.m. |
| NEDg | Description generation | batch_69a4e6cfdbf48190814dfb9d2bd8dbf5 |
completed | March 2, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4e79f2a8881909210998edba8a2a8 |
completed | March 2, 2026, 1:27 a.m. |
Created at: March 1, 2026, 7:32 p.m.