Triple
T5617552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heamoor |
E147514
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Newlyn |
E163433
|
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: Newlyn | Statement: [Heamoor, nearbySettlement, Newlyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newlyn Context triple: [Heamoor, nearbySettlement, Newlyn]
-
A.
Newlyn
chosen
Newlyn is a historic Cornish fishing village and harbour on the coast of southwest England, renowned for its art colony and maritime heritage.
-
B.
Milford Haven
Milford Haven is a coastal town and deep-water port in Pembrokeshire, Wales, known for its large natural harbour and role in the UK energy industry.
-
C.
Perranporth
Perranporth is a coastal village and popular seaside resort in Cornwall, England, known for its long sandy beach and surfing.
-
D.
Narberth
Narberth is a small market town in southwest Wales known for its independent shops, arts scene, and historic castle remains.
-
E.
Tenby
Tenby is a historic seaside town and popular tourist resort in Pembrokeshire, Wales, known for its sandy beaches, medieval town walls, and picturesque harbor.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dc04c081909f36e40394e7c955 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a142ae8c8190a8c4a02bb3f69ff2 |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:40 p.m.