Triple

T11926973
Position Surface form Disambiguated ID Type / Status
Subject Convair 990 Coronado E283807 entity
Predicate airlineCustomer P102192 FINISHED
Object Balair E748921 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: Balair | Statement: [Convair 990 Coronado, airlineCustomer, Balair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balair
Context triple: [Convair 990 Coronado, airlineCustomer, Balair]
  • A. Balair chosen
    Balair was a Swiss charter airline that operated primarily leisure and holiday flights, and later became part of the Swissair Group.
  • B. Balumain
    Balumain is a central deity in the Kalash religion, revered as a winter god and cultural hero associated with the Chawmos festival in Pakistan’s Hindu Kush region.
  • C. Baralbins
    Baralbins are the inhabitants of the French commune of Bar-sur-Aube in the Grand Est region of northeastern France.
  • D. Balantak
    Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
  • E. Balgo
    Balgo is a remote Aboriginal community in Western Australia known for its rich Indigenous culture and renowned desert art.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440525e9881909b21df139d97d986 completed May 1, 2026, 5:55 a.m.
Created at: April 8, 2026, 9:45 p.m.