Triple

T5524170
Position Surface form Disambiguated ID Type / Status
Subject Montbrison E144882 entity
Predicate regionCapitalOf P204 FINISHED
Object Forez (historical) E528566 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: Forez (historical) | Statement: [Montbrison, regionCapitalOf, Forez (historical)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forez (historical)
Context triple: [Montbrison, regionCapitalOf, Forez (historical)]
  • A. Forez chosen
    Forez is a historic region in central France, corresponding largely to the plains and hills around Montbrison in today’s Loire department.
  • B. Froyle
    Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
  • C. Firswood
    Firswood is a suburban residential area in Trafford, Greater Manchester, England, served by the Manchester Metrolink network.
  • D. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • E. Kowen Forest
    Kowen Forest is a large pine plantation and recreational forest area east of Canberra in the Australian Capital Territory, popular for activities such as mountain biking, trail running, and orienteering.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f85c8508190a0a089402b49a04f completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cd6ce3c8190ac5ef4c216190266 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.