Triple
T4925925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOD St Athan |
E110574
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | St Athan |
E112252
|
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: St Athan | Statement: [MOD St Athan, nearbySettlement, St Athan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Athan Context triple: [MOD St Athan, nearbySettlement, St Athan]
-
A.
St Athan
chosen
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.
-
B.
Margam
Margam is a village and community in South Wales known for its historic Margam Abbey and the expansive Margam Country Park and Castle.
-
C.
Capel Seion
Capel Seion is a chapel serving the local religious community in the town of Corwen, Wales.
-
D.
Hafod
Hafod is an inner-city district of Swansea in South Wales, historically known for its industrial heritage and proximity to the River Tawe.
-
E.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7033c430819088e62f14979aa83c |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77a9dff481908c7f525f233d9bce |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.