Triple
T7810823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilpshire |
E180676
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Mellor |
E180675
|
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: Mellor | Statement: [Wilpshire, adjacentTo, Mellor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellor Context triple: [Wilpshire, adjacentTo, Mellor]
-
A.
Mellor
chosen
Mellor is a village in Lancashire, England, situated within the Ribble Valley borough and known for its rural character and scenic surroundings.
-
B.
Mapperley
Mapperley is a suburban residential area in the Nottingham region of England, known for its local amenities and proximity to Arnold.
-
C.
Molesey
Molesey is a suburban town in south-east England situated on the River Thames, known for its proximity to Hampton Court Palace and its residential character within the London commuter belt.
-
D.
Benthall
Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
-
E.
McElderry
McElderry is the surname of Margaret K. McElderry, a pioneering American children's book editor and publisher.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78cd1cc8190b4cdd9850e1e2bb7 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14651d488190b1bf6b875a2ebccd |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:37 p.m.