Triple
T20579511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendip district |
E505314
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wookey |
—
|
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: Wookey | Statement: [Mendip district, contains, Wookey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wookey Context triple: [Mendip district, contains, Wookey]
-
A.
Wookey
chosen
Wookey is a village in Somerset, England, known for its nearby limestone caves and scenic rural setting.
-
B.
Wiarton Willie
Wiarton Willie is a famous Canadian groundhog celebrated for his annual Groundhog Day weather prediction festival in Wiarton, Ontario.
-
C.
Boolaroo
Boolaroo is a suburb in the City of Lake Macquarie in New South Wales, Australia, historically known for its industrial activities and proximity to Cockle Creek and Lake Macquarie.
-
D.
Bigweld
Bigweld is a charismatic, visionary inventor and industrialist from the animated film "Robots," known for championing creativity and innovation in a robot-populated world.
-
E.
Killick
Killick is the irascible yet fiercely loyal steward and servant to Captain Jack Aubrey in Patrick O’Brian’s Aubrey–Maturin naval novels.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90dd3e881908915debe1f1e8509 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.