Triple
T12451404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill English |
E297539
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Dipton, Southland |
E869672
|
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: Dipton, Southland | Statement: [Bill English, residence, Dipton, Southland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dipton, Southland Context triple: [Bill English, residence, Dipton, Southland]
-
A.
Dipton
chosen
Dipton is a small rural locality in New Zealand’s Southland region, known for its farming community and proximity to the Oreti River.
-
B.
Weeton
Weeton is a small rural village in Lancashire, England, known for its agricultural surroundings and traditional English countryside character.
-
C.
Kellerton
Kellerton is a small town located in Ringgold County in southern Iowa, United States.
-
D.
Heathcote
Heathcote is an unincorporated community located within South Brunswick Township in Middlesex County, New Jersey.
-
E.
Heathcote
Heathcote is a residential area or property in Ilkley, West Yorkshire, England, notable enough to have given its name to the surrounding locality.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9fa5f0819080ca9f6efa212c59 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.