Triple
T6141101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knelston |
E136962
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Port Eynon |
E110775
|
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: Port Eynon | Statement: [Knelston, locatedNear, Port Eynon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Eynon Context triple: [Knelston, locatedNear, Port Eynon]
-
A.
Port Eynon
chosen
Port Eynon is a coastal village and popular seaside destination on the Gower Peninsula in South Wales, known for its sandy beach and scenic surroundings.
-
B.
Narberth
Narberth is a small market town in southwest Wales known for its independent shops, arts scene, and historic castle remains.
-
C.
Porthmadog
Porthmadog is a coastal town in Gwynedd, Wales, known as a gateway to Snowdonia and for its historic harbour and heritage railways.
-
D.
Barmouth
Barmouth is a seaside town and popular holiday resort on the west coast of Wales, known for its sandy beach and scenic location at the mouth of the Mawddach Estuary.
-
E.
Gorseinon
Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb2404c8190bbbfa78d5f49389f |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603d90bcc81908f819a9e262ec17a |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:16 p.m.