Triple

T1029995
Position Surface form Disambiguated ID Type / Status
Subject Carmarthenshire E22227 entity
Predicate containsSettlement P847 FINISHED
Object Ammanford
Ammanford is a former coal-mining town and commercial centre in Carmarthenshire, southwest Wales.
E194018 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: Ammanford | Statement: [Carmarthenshire, containsSettlement, Ammanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ammanford
Context triple: [Carmarthenshire, containsSettlement, Ammanford]
  • A. Trellech
    Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
  • B. Corwen
    Corwen is a small historic market town in Denbighshire, Wales, situated on the River Dee and known as a gateway to the Berwyn Mountains.
  • C. Grindleford
    Grindleford is a village in the Derbyshire Peak District of England, known for its scenic countryside, walking trails, and proximity to popular climbing and hiking areas.
  • D. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • E. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural 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: Ammanford
Triple: [Carmarthenshire, containsSettlement, Ammanford]
Generated description
Ammanford is a former coal-mining town and commercial centre in Carmarthenshire, southwest Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ammanford
Target entity description: Ammanford is a former coal-mining town and commercial centre in Carmarthenshire, southwest Wales.
  • A. Trellech
    Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
  • B. Corwen
    Corwen is a small historic market town in Denbighshire, Wales, situated on the River Dee and known as a gateway to the Berwyn Mountains.
  • C. Grindleford
    Grindleford is a village in the Derbyshire Peak District of England, known for its scenic countryside, walking trails, and proximity to popular climbing and hiking areas.
  • D. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • E. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f962608190b3ebd9140472b979 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a96e40081909c2d532d68b0b248 completed March 8, 2026, 2:41 p.m.
NEDg Description generation batch_69ad95738df081909e56178cc1e0ab74 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a1a44c8190a9d8fe05837ec9ff completed March 8, 2026, 3:37 p.m.
Created at: March 1, 2026, 7:41 p.m.