Triple
T15189334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wirral Country Park |
E362962
|
entity |
| Predicate | hasAccessPoint |
P1985
|
FINISHED |
| Object | Hooton |
E307098
|
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: Hooton | Statement: [Wirral Country Park, hasAccessPoint, Hooton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hooton Context triple: [Wirral Country Park, hasAccessPoint, Hooton]
-
A.
Hooton
chosen
Hooton is a village and residential area on the Wirral Peninsula in Cheshire, England, known for its transport links and proximity to major road and rail routes.
-
B.
Hunston
Hunston is a small village and civil parish on the Manhood Peninsula in West Sussex, England.
-
C.
Hawkinson
Hawkinson is a surname of likely English origin, derived as a variant of the name Hawkins.
-
D.
Hazelbrook
Hazelbrook is a small residential town and village in the Blue Mountains region of New South Wales, Australia, known for its bushland setting and nearby waterfalls.
-
E.
Aylott
Aylott is a surname most notably associated with the British publishing firm Aylott and Jones.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32e425c819083f10f947c258a9b |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.