Triple
T6807635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowbridge |
E156347
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Llanblethian
Llanblethian is a historic village in the Vale of Glamorgan, Wales, noted for its medieval church and the ruins of St Quintin’s Castle.
|
E667131
|
NE FINISHED |
How this triple was built (4 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: Llanblethian | Statement: [Cowbridge, hasNearbySettlement, Llanblethian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanblethian Context triple: [Cowbridge, hasNearbySettlement, Llanblethian]
-
A.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
B.
Llanwern
Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
-
C.
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.
-
D.
Llanwnnen
Llanwnnen is a small rural village in Ceredigion, west Wales, situated near the market town of Lampeter.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Llanblethian Triple: [Cowbridge, hasNearbySettlement, Llanblethian]
Generated description
Llanblethian is a historic village in the Vale of Glamorgan, Wales, noted for its medieval church and the ruins of St Quintin’s Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llanblethian Target entity description: Llanblethian is a historic village in the Vale of Glamorgan, Wales, noted for its medieval church and the ruins of St Quintin’s Castle.
-
A.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
B.
Llanwern
Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
-
C.
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.
-
D.
Llanwnnen
Llanwnnen is a small rural village in Ceredigion, west Wales, situated near the market town of Lampeter.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30b56c48190a5b244ea7e0c669a |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8341cd2088190835992e0635d1b4e |
completed | March 28, 2026, 8:03 p.m. |
| NEDg | Description generation | batch_69c835ce5bbc8190b968535c16cfc660 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c836a80eb081908b9937944fe18661 |
completed | March 28, 2026, 8:14 p.m. |
Created at: March 27, 2026, 2:16 p.m.