Triple

T14377727
Position Surface form Disambiguated ID Type / Status
Subject Vasaloppet E356517 entity
Predicate hasVariant P455 FINISHED
Object Kortvasan E1095970 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: Kortvasan | Statement: [Vasaloppet, hasVariant, Kortvasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kortvasan
Context triple: [Vasaloppet, hasVariant, Kortvasan]
  • A. Halvvasan chosen
    Halvvasan is a shorter-distance cross-country ski race in Sweden that forms part of the Vasaloppet series of events.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kortgene
    Kortgene is a small town in the Dutch province of Zeeland, known as an administrative and recreational center on the island of Noord-Beveland.
  • D. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • E. Vansittart
    Vansittart is a British surname historically associated with politicians, civil servants, and other notable public figures.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.