Triple
T9262251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llangefni |
E222606
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | LLANGEFNI |
E222606
|
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: LLANGEFNI | Statement: [Llangefni, hasPostTown, LLANGEFNI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLANGEFNI Context triple: [Llangefni, hasPostTown, LLANGEFNI]
-
A.
Llangefni
chosen
Llangefni is a small market town on the island of Anglesey in Wales, known for serving as the island’s administrative centre.
-
B.
Llangennith
Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
-
C.
Llanfihangel-yng-Ngwynfa
Llanfihangel-yng-Ngwynfa is a small rural village and community in Powys, Wales, known for its traditional Welsh character and scenic countryside setting.
-
D.
St Athan
St Athan is a village in the Vale of Glamorgan, Wales, best known for its long-standing military airbase and associated aerospace and defence activities.
-
E.
Llanegryn
Llanegryn is a small village in Gwynedd, Wales, situated in the Dysynni Valley near the coastal town of Tywyn.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07189bc48190987315bd5d3ce4f1 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c0526c48190aae93a70cfe5562c |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:32 p.m.