Triple
T555742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayfair |
E11937
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Piccadilly |
E10445
|
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: Piccadilly | Statement: [Mayfair, borderedBy, Piccadilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piccadilly Context triple: [Mayfair, borderedBy, Piccadilly]
-
A.
Piccadilly
chosen
Piccadilly is a major street in central London known for its historic buildings, prestigious institutions, and proximity to landmarks such as Piccadilly Circus and Green Park.
-
B.
Cannon Street
Cannon Street is a major road in the City of London known for its financial district location, railway station, and proximity to landmarks such as St Paul’s Cathedral and the River Thames.
-
C.
Regent Street
Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
-
D.
Oxford Street
Oxford Street is one of London’s busiest and most famous shopping streets, known for its major retail stores and central West End location.
-
E.
Pall Mall
Pall Mall is a long-established brand of cigarettes known for its filtered and unfiltered varieties and wide distribution in the United States and abroad.
- 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_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_69a56c475ce88190bf16e5ee76f1d3b5 |
completed | March 2, 2026, 10:53 a.m. |
Created at: March 1, 2026, 7:32 p.m.