Triple
T12611458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northolt (part) |
E301132
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Greenford |
E604956
|
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: Greenford | Statement: [Northolt (part), hasPostTown, Greenford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenford Context triple: [Northolt (part), hasPostTown, Greenford]
-
A.
Greenford
chosen
Greenford is a suburban area in the London Borough of Ealing, known for its residential neighborhoods, parks, and transport links in West London.
-
B.
Hendon
Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
-
C.
Hendon
Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
-
D.
Hendon
Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
-
E.
Woodford Green
Woodford Green is a suburban area in the London Borough of Redbridge known for its large open green spaces and residential character on the northeastern edge of Greater London.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a82c2b9c819084ffd933e5b295b9 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 5:11 p.m.