Triple

T12676401
Position Surface form Disambiguated ID Type / Status
Subject Manohar International Airport E302821 entity
Predicate ICAOcode P419 FINISHED
Object VOGA E886379 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: VOGA | Statement: [Manohar International Airport, ICAOcode, VOGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOGA
Context triple: [Manohar International Airport, ICAOcode, VOGA]
  • A. VOGA chosen
    VOGA is the ICAO airport code assigned to Manohar International Airport in Mopa, Goa, India.
  • B. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • C. VOGO
    VOGO is the ICAO airport code assigned to Dabolim Airport, the main international airport serving the state of Goa, India.
  • D. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • E. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a341288190822fae2469efea09 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.