Triple
T13656717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley |
E326879
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Bromley |
E55630
|
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: Bromley | Statement: [Shirley, hasNeighbour, Bromley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bromley Context triple: [Shirley, hasNeighbour, Bromley]
-
A.
Bromley
chosen
Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
-
B.
Bexleyheath
Bexleyheath is a suburban district and major commercial centre in the London Borough of Bexley, southeast London, England.
-
C.
Bexley
Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
-
D.
Bexley
Bexley is a surname most notably associated with American actor and comedian Don Bexley, known for his role on the television show "Sanford and Son."
-
E.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a4fffa7c81909bcc833b44ddf66f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 9, 2026, 9:52 p.m.