Triple
T15981216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendoylan |
E387579
|
entity |
| Predicate | hasWelshName |
P4705
|
FINISHED |
| Object | Pendeulwyn |
E404708
|
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: Pendeulwyn | Statement: [Pendoylan, hasWelshName, Pendeulwyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pendeulwyn Context triple: [Pendoylan, hasWelshName, Pendeulwyn]
-
A.
Gunwinyguan
Gunwinyguan is a family of Indigenous Australian languages spoken primarily in northern Australia, known for its complex grammar and rich linguistic diversity.
-
B.
Pujalt
Pujalt is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural landscape and historical heritage.
-
C.
Tayinloan
Tayinloan is a small coastal village on the Kintyre peninsula in Argyll and Bute, western Scotland, known as a ferry point to the Isle of Gigha.
-
D.
Bonymaen
Bonymaen is a residential district and community in the east of Swansea, Wales.
-
E.
Waunarlwydd
chosen
Waunarlwydd is a suburban village and community on the western edge of Swansea in South Wales, known for its residential character and local amenities.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15754e8648190a93b73184db089a7 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cb0ed48190b35c19f3961f183b |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.