Triple

T7126907
Position Surface form Disambiguated ID Type / Status
Subject River Roch E166085 entity
Predicate flowsThrough P225 FINISHED
Object Littleborough E17011 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: Littleborough | Statement: [River Roch, flowsThrough, Littleborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littleborough
Context triple: [River Roch, flowsThrough, Littleborough]
  • A. Littleborough chosen
    Littleborough is a small town in Greater Manchester, England, known for its scenic Pennine surroundings and historic role in regional textile and canal-based trade routes.
  • B. Crowborough
    Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
  • C. Woodnesborough
    Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • D. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • E. Narborough
    Narborough is a village in Leicestershire, England, known as a suburban commuter settlement near Leicester with historical roots and local amenities.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64ee8ac81909ee1c7cb1db3af33 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a3357e548190bb56c31843c69f95 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.