Triple
T3968774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City and County of Swansea |
E92278
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gorseinon
Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
|
E404707
|
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: Gorseinon | Statement: [City and County of Swansea, contains, Gorseinon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorseinon Context triple: [City and County of Swansea, contains, Gorseinon]
-
A.
Penryn
Penryn is a historic town and former parliamentary borough in Cornwall, England.
-
B.
Port Talbot
Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
-
C.
Ogmore-by-Sea
Ogmore-by-Sea is a coastal village in the Vale of Glamorgan, Wales, known for its sandy beaches, cliffs, and views across the Bristol Channel.
-
D.
Rhos-on-Sea
Rhos-on-Sea is a small seaside resort and coastal community in North Wales known for its promenade, beach, and historic sites.
-
E.
Narberth
Narberth is a small market town in southwest Wales known for its independent shops, arts scene, and historic castle remains.
- 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: Gorseinon Triple: [City and County of Swansea, contains, Gorseinon]
Generated description
Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gorseinon Target entity description: Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
-
A.
Penryn
Penryn is a historic town and former parliamentary borough in Cornwall, England.
-
B.
Port Talbot
Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
-
C.
Ogmore-by-Sea
Ogmore-by-Sea is a coastal village in the Vale of Glamorgan, Wales, known for its sandy beaches, cliffs, and views across the Bristol Channel.
-
D.
Rhos-on-Sea
Rhos-on-Sea is a small seaside resort and coastal community in North Wales known for its promenade, beach, and historic sites.
-
E.
Narberth
Narberth is a small market town in southwest Wales known for its independent shops, arts scene, and historic castle remains.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef992d6bc8190be1b244eb87f2964 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54006b5e48190973e30055a0893a5 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b54126234c8190990cf6df84a83e92 |
completed | March 14, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5458d736481908ca826fa4fd01b8c |
completed | March 14, 2026, 11:25 a.m. |
Created at: March 9, 2026, 3:32 p.m.