Triple

T4266602
Position Surface form Disambiguated ID Type / Status
Subject North Calder Water E96839 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Calderbank E172437 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: Calderbank | Statement: [North Calder Water, hasNearbySettlement, Calderbank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calderbank
Context triple: [North Calder Water, hasNearbySettlement, Calderbank]
  • A. Calderbank chosen
    Calderbank is a small village in North Lanarkshire, Scotland, historically associated with coal mining and ironworks.
  • B. Souter
    Souter is a surname most prominently associated with David H. Souter, a former Associate Justice of the United States Supreme Court.
  • C. Langdell
    Langdell is a surname most notably associated with Christopher Columbus Langdell, the influential 19th-century dean of Harvard Law School who pioneered the case method of legal education.
  • D. Wellbank
    Wellbank is a small rural village in the Angus council area of eastern Scotland.
  • E. Pinsent
    Pinsent is an English surname most notably associated with Sir Matthew Pinsent, the multiple Olympic gold medal-winning rower.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fcc383c81908e17da7cbc86a630 completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b79992a08190b614a89aa36cf674 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:07 p.m.