Triple

T2732807
Position Surface form Disambiguated ID Type / Status
Subject Eastern Scotland E60353 entity
Predicate hasTown P847 FINISHED
Object Banff E125100 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: Banff | Statement: [Eastern Scotland, hasTown, Banff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banff
Context triple: [Eastern Scotland, hasTown, Banff]
  • A. Banff chosen
    Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
  • B. Squamish
    Squamish is a town in southwestern British Columbia, Canada, known for its dramatic coastal mountain scenery and outdoor recreation opportunities.
  • C. Whistler
    Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
  • D. Whistler
    Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
  • E. Cardston
    Cardston is a small town in southern Alberta, Canada, known for its strong Latter-day Saint heritage and historic temple.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaf175808190acbbb3873c7c3f67 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc430ec8190a54f805cd0067b97 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.