Triple

T3836916
Position Surface form Disambiguated ID Type / Status
Subject Hamilton urban area E91154 entity
Predicate hasPart P35 FINISHED
Object Huntly E432346 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: Huntly | Statement: [Hamilton urban area, hasPart, Huntly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huntly
Context triple: [Hamilton urban area, hasPart, Huntly]
  • A. Huntly
    Huntly is a historic town in Aberdeenshire, Scotland, long associated with the Gordon family and the Marquess of Huntly.
  • B. Huntly chosen
    Huntly is a small town in New Zealand known for its coal mining history and location on the Waikato River between Hamilton and Auckland.
  • C. Banchory
    Banchory is a small town in northeast Scotland situated on the River Dee, known for its scenic surroundings and role as a gateway to Royal Deeside.
  • D. Arbirlot
    Arbirlot is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and scenic countryside setting near the North Sea coast.
  • E. Kirriemuir
    Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9baa508190800e73bf186f046e completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf88d99da08190996996079b947498 completed March 22, 2026, 6:14 a.m.
Created at: March 9, 2026, 3:18 p.m.