Triple

T5926056
Position Surface form Disambiguated ID Type / Status
Subject Ludlow Castle E131813 entity
Predicate locatedIn P40 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: [Ludlow Castle, locatedIn, Ludlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludlow
Context triple: [Ludlow Castle, locatedIn, Ludlow]
  • A. Ludlow
    Ludlow is a small town in Windsor County, Vermont, best known as the home of the Okemo Mountain ski resort and a popular year-round outdoor recreation destination.
  • B. Ludlow chosen
    Ludlow is a historic market town in Shropshire, England, renowned for its well-preserved medieval architecture, Norman castle, and vibrant food culture.
  • C. Castleton
    Castleton is a picturesque village in England’s Peak District, known for its surrounding hills, show caves, and historic Peveril Castle.
  • D. Castleton
    Castleton is a suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • E. Castleton
    Castleton is a small village in North Yorkshire, England, situated within the scenic North York Moors National Park.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038542e548190b335df9a948c8490 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c04e5af8819095f15cfbc1f13c46 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.