Triple

T17731462
Position Surface form Disambiguated ID Type / Status
Subject Lockheed L-1649 Starliner E442594 entity
Predicate majorOperator P5623 FINISHED
Object Varig 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: Varig | Statement: [Lockheed L-1649 Starliner, majorOperator, Varig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varig
Context triple: [Lockheed L-1649 Starliner, majorOperator, Varig]
  • A. Varig chosen
    Varig was Brazil’s former flagship airline, once the country’s largest carrier and a major international operator throughout much of the 20th century.
  • B. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • C. Vara
    Vara is a small locality and municipality in western Sweden known for its agricultural landscape and rural character.
  • D. Varia
    Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
  • E. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e69f288190900027641952f198 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.