Triple
T18911192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberkenfig |
E462609
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Sarn
Sarn is a village in Bridgend County Borough, South Wales, known for its residential community and proximity to major transport links and retail facilities.
|
E1349390
|
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: Sarn | Statement: [Aberkenfig, hasNeighbouringSettlement, Sarn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarn Context triple: [Aberkenfig, hasNeighbouringSettlement, Sarn]
-
A.
Sarny
Sarny is a town in western Ukraine known as a local administrative and transportation center in Rivne Oblast.
-
B.
Sandarne
Sandarne is a small locality in east-central Sweden, situated on the coast within Gävleborg County.
-
C.
Sarrien
Sarrien is a French surname most notably borne by Ferdinand Sarrien, a politician who served as Prime Minister of France in the early 20th century.
-
D.
Sarn Badrig
Sarn Badrig is a submerged ancient causeway or reef off the coast of Wales, traditionally linked to the legendary drowned kingdom of Cantre'r Gwaelod.
-
E.
Sarsden
Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
- 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: Sarn Triple: [Aberkenfig, hasNeighbouringSettlement, Sarn]
Generated description
Sarn is a village in Bridgend County Borough, South Wales, known for its residential community and proximity to major transport links and retail facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarn Target entity description: Sarn is a village in Bridgend County Borough, South Wales, known for its residential community and proximity to major transport links and retail facilities.
-
A.
Sarny
Sarny is a town in western Ukraine known as a local administrative and transportation center in Rivne Oblast.
-
B.
Sandarne
Sandarne is a small locality in east-central Sweden, situated on the coast within Gävleborg County.
-
C.
Sarrien
Sarrien is a French surname most notably borne by Ferdinand Sarrien, a politician who served as Prime Minister of France in the early 20th century.
-
D.
Sarn Badrig
Sarn Badrig is a submerged ancient causeway or reef off the coast of Wales, traditionally linked to the legendary drowned kingdom of Cantre'r Gwaelod.
-
E.
Sarsden
Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6226f4081909b77aac26c574980 |
completed | April 20, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05910ffc8081908738b5e7ef08d52c |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05932531ec8190813d393c85d7c398 |
completed | May 14, 2026, 9:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0593b4c6b0819094d267c568332250 |
completed | May 14, 2026, 9:19 a.m. |
Created at: April 10, 2026, 11:58 a.m.