Triple
T18467041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bynea |
E451191
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gorseinon |
E404707
|
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: Gorseinon | Statement: [Bynea, near, Gorseinon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorseinon Context triple: [Bynea, near, Gorseinon]
-
A.
Gorseinon
chosen
Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
-
B.
Abersoch
Abersoch is a popular seaside village and holiday resort in Gwynedd, Wales, known for its sandy beaches and water sports on the Llŷn Peninsula.
-
C.
Y Felinheli
Y Felinheli is a coastal village and community in Gwynedd, northwest Wales, situated on the Menai Strait.
-
D.
Porthdinllaen
Porthdinllaen is a picturesque historic fishing village and natural harbour on the north coast of the Llŷn Peninsula in Gwynedd, Wales, known for its sandy beach, lifeboat station, and car-free seafront.
-
E.
Nantmor
Nantmor is a small rural village in Gwynedd, North Wales, known for its scenic location in Snowdonia near the Aberglaslyn Pass and its popular walking routes.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8459f88190a54cae4c8cb05119 |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047133fbbc819098a7a292b1f56e04 |
completed | May 13, 2026, 12:40 p.m. |
Created at: April 10, 2026, 11:34 a.m.