Triple

T2491192
Position Surface form Disambiguated ID Type / Status
Subject River Teme E52044 entity
Predicate hasFloodRisk P12640 FINISHED
Object Ludlow E82172 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: Ludlow | Statement: [River Teme, hasFloodRisk, Ludlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludlow
Context triple: [River Teme, hasFloodRisk, Ludlow]
  • A. Ludlow chosen
    Ludlow is a historic market town in Shropshire, England, renowned for its well-preserved medieval architecture, Norman castle, and vibrant food culture.
  • B. Castleton
    Castleton is a picturesque village in England’s Peak District, known for its surrounding hills, show caves, and historic Peveril Castle.
  • C. Castleton
    Castleton is a small village in North Yorkshire, England, situated within the scenic North York Moors National Park.
  • D. Castleton
    Castleton is a suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • E. Millcreek
    Millcreek is a suburban city in central Utah that functions as part of the Salt Lake City metropolitan area.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd18fe32081909580c6272a6013c5 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8429388190a2d1b1610511ea75 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.