Triple
T15089905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark and Sherwood |
E360386
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | West Lindsey |
E123526
|
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: West Lindsey | Statement: [Newark and Sherwood, borderedBy, West Lindsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Lindsey Context triple: [Newark and Sherwood, borderedBy, West Lindsey]
-
A.
West Lindsey
chosen
West Lindsey is a local government district and largely rural area in the county of Lincolnshire in the East Midlands of England.
-
B.
Copse
Copse is a fast, right-hand corner at the start of Silverstone Circuit’s Grand Prix lap, renowned as one of the track’s most challenging and iconic turns.
-
C.
Hoxne
Hoxne is a historic village in Suffolk, England, best known as the site where the famous late Roman Hoxne Hoard was discovered.
-
D.
Caddington
Caddington is a village and civil parish in Bedfordshire, England, situated near the town of Dunstable.
-
E.
Amesbury
Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1d7a0c819096b035f8ca8d0e90 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.