Triple
T20281947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llangennech railway station |
E503169
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Llangennech |
E503169
|
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: Llangennech | Statement: [Llangennech railway station, serves, Llangennech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llangennech Context triple: [Llangennech railway station, serves, Llangennech]
-
A.
Llangennech
chosen
Llangennech is a village in Carmarthenshire, Wales, situated near the Loughor estuary and known for its historic links to coal mining and the Llanelli area.
-
B.
Llangennith
Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
-
C.
Llanymynech
Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
-
D.
Llangrannog
Llangrannog is a small seaside village on the west coast of Wales, known for its sandy beach, coastal scenery, and popularity with holidaymakers and walkers.
-
E.
Llanbedr
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.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768f86448190842389a98b93a918 |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b0b79ac8190bc8cc1b8505c0673 |
completed | May 16, 2026, 2:11 p.m. |
Created at: April 16, 2026, 10:39 a.m.