Triple
T14277371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyme Regis |
E353948
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Axminster |
E573293
|
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: Axminster | Statement: [Lyme Regis, near, Axminster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axminster Context triple: [Lyme Regis, near, Axminster]
-
A.
Axminster
chosen
Axminster is a historic market town in East Devon, England, best known for its traditional carpet industry and picturesque rural surroundings.
-
B.
Warminster
Warminster is a suburban township in Bucks County, Pennsylvania, known for its residential communities, local commerce, and small general-aviation airport.
-
C.
Warminster
Warminster is a market town in Wiltshire, England, known for its historic architecture, surrounding countryside, and role as a local transport and service hub.
-
D.
Corringham
Corringham is a small town and civil parish in the unitary authority of Thurrock in Essex, England, with historic roots and a largely residential character.
-
E.
Maxton
Maxton is the given first name of English actor and musician Max Beesley.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326f62b4819084b1e984678991ae |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.