Triple

T16548038
Position Surface form Disambiguated ID Type / Status
Subject Bonymaen E401995 entity
Predicate borders P224 FINISHED
Object Landore E401996 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: Landore | Statement: [Bonymaen, borders, Landore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landore
Context triple: [Bonymaen, borders, Landore]
  • A. Landore chosen
    Landore is a district of Swansea in South Wales, known historically for its industrial heritage and proximity to the River Tawe.
  • B. Montgarri
    Montgarri is a small, remote mountain village and former monastery site in the Val d'Aran of the Catalan Pyrenees, known for its scenic alpine setting and pilgrimage church.
  • C. Gronant
    Gronant is a coastal village and community in Denbighshire, Wales, known for its sand dunes, nature reserve, and proximity to the seaside town of Prestatyn.
  • D. Sandarne
    Sandarne is a small locality in east-central Sweden, situated on the coast within Gävleborg County.
  • E. Dynnyrne
    Dynnyrne is a residential suburb of Hobart, Tasmania, situated on the city’s hilly southern fringe.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fbf79048190b761008441762374 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b4f6448190812632ab9023b665 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.