Triple

T22834785
Position Surface form Disambiguated ID Type / Status
Subject Trapp E565913 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Ammanford NE NERFINISHED

How this triple was built (2 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: [Trapp, hasNearbySettlement, Ammanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ammanford
Context triple: [Trapp, hasNearbySettlement, Ammanford]
  • A. Ammanford chosen
    Ammanford is a former coal-mining town and commercial centre in Carmarthenshire, southwest Wales.
  • B. Towyn
    Towyn is a coastal town in Gwynedd, Wales, known historically as a seaside resort and for its proximity to the Dysynni Valley and the Cambrian Coast railway.
  • C. Towyn
    Towyn is a coastal town in North Wales known for its holiday parks, caravan sites, and seaside tourism.
  • D. Brynmelin
    Brynmelin is a district within the City and County of Swansea in Wales, known primarily as a residential area of the city.
  • E. Skenfrith
    Skenfrith is a small village in Monmouthshire, Wales, known for its historic riverside setting and its prominent medieval castle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2e3e7481909d12dc5008136880 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.