Triple
T367583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Bromley |
E7995
|
entity |
| Predicate | settlement |
P8239
|
FINISHED |
| Object |
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
|
E48908
|
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: Hayes | Statement: [London Borough of Bromley, settlement, Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayes Context triple: [London Borough of Bromley, settlement, Hayes]
-
A.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
B.
McDouglas
McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
-
C.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
- 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: Hayes Triple: [London Borough of Bromley, settlement, Hayes]
Generated description
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hayes Target entity description: Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
A.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
B.
McDouglas
McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
-
C.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe90edc48190a477971920c60918 |
completed | March 1, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69a3fef7fd748190b92b9979a76fcbb4 |
completed | March 1, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4003d118081908aabb8458ddf5982 |
completed | March 1, 2026, 9 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.