Triple
T10399333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceredigion coast |
E245102
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Borth |
E797980
|
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: Borth | Statement: [Ceredigion coast, hasPart, Borth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borth Context triple: [Ceredigion coast, hasPart, Borth]
-
A.
Borth
chosen
Borth is a coastal village and seaside resort in Ceredigion, Wales, known for its long sandy beach and nearby nature reserve.
-
B.
Moydodyr
Moydodyr is a famous Soviet children's fairy-tale poem and character—a living washstand—created by Korney Chukovsky to teach kids about cleanliness and hygiene.
-
C.
Bryn
Bryn is a village in Neath Port Talbot, South Wales, situated near Port Talbot and historically associated with coal mining and hillside communities.
-
D.
Bryn
Bryn is a residential area and suburb within the town of Ashton-in-Makerfield in Greater Manchester, England.
-
E.
Pontlottyn
Pontlottyn is a former coal-mining village in the South Wales Valleys, known for its industrial heritage and close-knit community.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d2e8488190b2bb8f8509903804 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbc759a08190be677bf5458af0c8 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:07 p.m.