Triple

T15942498
Position Surface form Disambiguated ID Type / Status
Subject Ludlow railway station E386599 entity
Predicate hasBorough P300 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 railway station, hasBorough, Ludlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludlow
Context triple: [Ludlow railway station, hasBorough, 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
    Ludlow is an English-origin surname historically associated with various notable figures in politics, literature, and public life.
  • C. Ludlow chosen
    Ludlow is a historic market town in Shropshire, England, renowned for its well-preserved medieval architecture, Norman castle, and vibrant food culture.
  • D. Ludlow
    Ludlow is a neighborhood in North Philadelphia, Pennsylvania, known for its residential character and proximity to major transit routes.
  • E. Ludlow Mills complex
    The Ludlow Mills complex is a historic former industrial mill district in Ludlow, Massachusetts, that once served as a major center of textile manufacturing and now features preserved mill buildings adapted for modern uses.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cefe948190af40eac92983edbc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179d63688190bda2758ed4b4e4df completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 4:53 a.m.