Triple

T18216315
Position Surface form Disambiguated ID Type / Status
Subject Carrigan E436168 entity
Predicate hasVariant P455 FINISHED
Object Cargan NE NERFINISHED

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: Cargan | Statement: [Carrigan, hasVariant, Cargan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cargan
Context triple: [Carrigan, hasVariant, Cargan]
  • A. Cargan chosen
    Cargan is a small village in County Antrim, Northern Ireland, historically linked to regional rail transport and the Glens of Antrim.
  • B. Mercara
    Mercara is the former anglicized name for Madikeri, a hill town and district headquarters in the Coorg (Kodagu) region of Karnataka, India.
  • C. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • D. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • E. Toma
    Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47765a081908d0bbca1245f89ba completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.