Triple

T10780731
Position Surface form Disambiguated ID Type / Status
Subject Manohar International Airport, Mopa E254311 entity
Predicate ICAOcode P419 FINISHED
Object VOGA
VOGA is the ICAO airport code assigned to Manohar International Airport in Mopa, Goa, India.
 E886379 NE FINISHED

How this triple was built (4 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, Mopa, ICAOcode, VOGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VOGA
Context triple: [Manohar International Airport, Mopa, ICAOcode, VOGA]
  • A. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • B. VOGO
    VOGO is the ICAO airport code assigned to Dabolim Airport, the main international airport serving the state of Goa, India.
  • C. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • D. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • E. Vagaus
    Vagaus is a character in Antonio Vivaldi’s sacred oratorio "Juditha triumphans," typically portrayed as the loyal and conflicted servant of the Assyrian general Holofernes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VOGA
Triple: [Manohar International Airport, Mopa, ICAOcode, VOGA]
Generated description
VOGA is the ICAO airport code assigned to Manohar International Airport in Mopa, Goa, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VOGA
Target entity description: VOGA is the ICAO airport code assigned to Manohar International Airport in Mopa, Goa, India.
  • A. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • B. VOGO
    VOGO is the ICAO airport code assigned to Dabolim Airport, the main international airport serving the state of Goa, India.
  • C. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • D. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • E. Vagaus
    Vagaus is a character in Antonio Vivaldi’s sacred oratorio "Juditha triumphans," typically portrayed as the loyal and conflicted servant of the Assyrian general Holofernes.
  • F. None of above. chosen

Provenance (5 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c48c488190a2b3162202b74726 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55fbfc70819098eb40cf0d1b9e8c completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:17 p.m.