Triple
T951698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neath Port Talbot |
E20536
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Banwen
Banwen is a small village in South Wales, known historically for its coal mining heritage and location near the upper Dulais Valley.
|
E113969
|
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: Banwen | Statement: [Neath Port Talbot, contains, Banwen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banwen Context triple: [Neath Port Talbot, contains, Banwen]
-
A.
Bowen
Bowen is a surname of English and Welsh origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Edenborn
Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
-
C.
Schaumainkai
Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Nicholaston
Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
- 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: Banwen Triple: [Neath Port Talbot, contains, Banwen]
Generated description
Banwen is a small village in South Wales, known historically for its coal mining heritage and location near the upper Dulais Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banwen Target entity description: Banwen is a small village in South Wales, known historically for its coal mining heritage and location near the upper Dulais Valley.
-
A.
Bowen
Bowen is a surname of English and Welsh origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Edenborn
Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
-
C.
Schaumainkai
Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Nicholaston
Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d757d08190a475cf47febd05ae |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac119db8c881909cd727b255675c0c |
completed | March 7, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69ac147efce881909968fbb1c19f0237 |
completed | March 7, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac14ca3b6c8190955387f5b6003931 |
completed | March 7, 2026, 12:06 p.m. |
Created at: March 1, 2026, 7:40 p.m.