Triple

T1121496
Position Surface form Disambiguated ID Type / Status
Subject Neath E24620 entity
Predicate hasLandmark P105 FINISHED
Object Neath Abbey E115782 NE FINISHED

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: Neath Abbey | Statement: [Neath, hasLandmark, Neath Abbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neath Abbey
Context triple: [Neath, hasLandmark, Neath Abbey]
  • A. Neath Abbey chosen
    Neath Abbey is a historic ruined Cistercian monastery in South Wales, renowned as one of the largest and most important medieval monastic sites in the country.
  • B. Neath Castle
    Neath Castle is a medieval Norman fortress ruin located in the town of Neath in South Wales.
  • C. Llanbadoc
    Llanbadoc is a small village in Monmouthshire, southeast Wales, best known as the birthplace of naturalist Alfred Russel Wallace.
  • D. Caerphilly
    Caerphilly is a town in South Wales known for its historic medieval castle and as the namesake of Caerphilly cheese.
  • E. St Athan
    St Athan is a village in the Vale of Glamorgan, Wales, best known for its long-standing military airbase and associated aerospace and defence activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539b6d9881909c3fe5890ae1f889 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:44 p.m.