Triple

T883297
Position Surface form Disambiguated ID Type / Status
Subject Shropshire E19073 entity
Predicate contains P35 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: [Shropshire, contains, Ludlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludlow
Context triple: [Shropshire, contains, 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 suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • D. Milltown
    Milltown is a small hamlet within the Town of Southeast in Putnam County, New York.
  • E. Ward Hill
    Ward Hill is a prominent hill on the Orkney island of Hoy in Scotland, known for its sweeping views and rugged, heather-covered slopes.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01f00f48190b954db4a0cb5baa8 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.