Triple
T10616950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanbedr railway station |
E276144
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Llanbedr |
E50615
|
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: Llanbedr | Statement: [Llanbedr railway station, locatedIn, Llanbedr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanbedr Context triple: [Llanbedr railway station, locatedIn, Llanbedr]
-
A.
Llanbedr
chosen
Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
-
B.
Brycheiniog
Brycheiniog was an early medieval Welsh kingdom located in what is now Brecknockshire in south-central Wales.
-
C.
Llanwddyn
Llanwddyn is a small village in Powys, Wales, best known for its relocation during the late 19th century to make way for the creation of Lake Vyrnwy reservoir.
-
D.
Llanwern
Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
-
E.
Llanfyllin
Llanfyllin is a small historic market town in Powys, Wales, known for its rural setting near the Berwyn Mountains and its traditional Welsh character.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f470cbce14819099d47d468ae61df7 |
completed | May 1, 2026, 9:22 a.m. |
Created at: April 8, 2026, 7:33 p.m.