Triple
T21542576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensbourne |
E531528
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Bromley |
—
|
NE NERFINISHED |
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: [Ravensbourne, passesThrough, Bromley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bromley Context triple: [Ravensbourne, passesThrough, 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.
Bromley Heath
Bromley Heath is a suburban residential area in South Gloucestershire, England, forming part of the wider community around Downend near Bristol.
-
C.
Bexleyheath
Bexleyheath is a suburban district and major commercial centre in the London Borough of Bexley, southeast London, England.
-
D.
Bexley
Bexley is a residential suburb in southern Sydney, New South Wales, known for its family-friendly streets and proximity to major transport links.
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58c34808190b0eb54ba01e2cc13 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.