Triple
T14194283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westhoughton |
E351792
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Wingates |
E520754
|
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: Wingates | Statement: [Westhoughton, hasNeighbourhood, Wingates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wingates Context triple: [Westhoughton, hasNeighbourhood, Wingates]
-
A.
Wingates
chosen
Wingates is a suburban area within the town of Westhoughton in Greater Manchester, England.
-
B.
Wingate
Wingate is a surname most notably associated with Orde Charles Wingate, an unconventional and influential British Army officer of the early 20th century.
-
C.
Welch
Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
-
D.
Welch
Welch is a surname of English origin borne by various notable individuals across fields such as entertainment, science, and politics.
-
E.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194951d481909a8e81f2d09feefa |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.