Triple
T18116568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alperton |
E433619
|
entity |
| Predicate | hasConstituencyWestminster |
P2710
|
FINISHED |
| Object | Brent North |
—
|
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: Brent North | Statement: [Alperton, hasConstituencyWestminster, Brent North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent North Context triple: [Alperton, hasConstituencyWestminster, Brent North]
-
A.
Brent North
chosen
Brent North is a UK parliamentary constituency in northwest London that elects a Member of Parliament to the House of Commons.
-
B.
Brent Eleigh
Brent Eleigh is a small rural village located in the county of Suffolk in eastern England.
-
C.
Brett Northart
Brett Northart is an entrepreneur best known as a co-founder of the fashion subscription and clothing rental service Le Tote.
-
D.
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
-
E.
Brent Anderson
Brent Anderson is an American comic book artist best known for his work on titles such as X-Men: God Loves, Man Kills and the series Astro City.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd67a2481909d27a4a49b095f8c |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.