Triple

T4615860
Position Surface form Disambiguated ID Type / Status
Subject Go First E100866 entity
Predicate callsign P1565 FINISHED
Object GOAIR E413810 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: GOAIR | Statement: [Go First, callsign, GOAIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOAIR
Context triple: [Go First, callsign, GOAIR]
  • A. Garuda Seva
    Garuda Seva is a prominent Hindu temple ritual in which the deity Vishnu is taken in procession mounted on his eagle vehicle Garuda, drawing large crowds of devotees.
  • B. Air Do
    Air Do is a Japanese regional airline based in Hokkaido that primarily operates domestic flights connecting Hokkaido with major cities such as Tokyo.
  • C. SkyUp Airlines
    SkyUp Airlines is a Ukrainian low-cost carrier known for operating domestic and international flights across Europe, the Middle East, and other regions.
  • D. Airblue
    Airblue is a Pakistani low-cost airline that operates domestic and international flights, with a primary base at Jinnah International Airport in Karachi.
  • E. GoAir chosen
    GoAir is an Indian low-cost airline founded by the Wadia Group, operating domestic and limited international flights.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59df3c3c8190be5db000f831d322 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa8da23881909ba4a70e9697f260 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.