Triple

T17227927
Position Surface form Disambiguated ID Type / Status
Subject Chepstow–Monmouth section E418166 entity
Predicate passesNear P416 FINISHED
Object Tintern E84403 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: Tintern | Statement: [Chepstow–Monmouth section, passesNear, Tintern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tintern
Context triple: [Chepstow–Monmouth section, passesNear, Tintern]
  • A. Tintern chosen
    Tintern is a historic village in Monmouthshire, Wales, best known for the picturesque ruins of Tintern Abbey on the banks of the River Wye.
  • B. Tintern
    Tintern is a small community located within the town of Lincoln in Ontario, Canada.
  • C. Rydal Water
    Rydal Water is a small scenic lake in England's Lake District, renowned for its picturesque surroundings and association with the poet William Wordsworth.
  • D. Moate
    Moate is a small town in central Ireland known for its location on the old Dublin–Galway road and its surrounding agricultural countryside.
  • E. Rydal
    Rydal is a residential community and unincorporated neighborhood located within Abington Township in Montgomery County, Pennsylvania.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de239a08190936a1d635b0b1b87 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675eae08819093427b4dc1ffee5f completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.