Triple

T3961286
Position Surface form Disambiguated ID Type / Status
Subject Pune International Airport E85908 entity
Predicate ICAOcode P419 FINISHED
Object VAPO
VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
 E401516 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: VAPO | Statement: [Pune International Airport, ICAOcode, VAPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VAPO
Context triple: [Pune International Airport, ICAOcode, VAPO]
  • A. Vuse
    Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
  • 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. VABO
    VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
  • D. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • E. vamkok
    Vamkok is a traditional garment worn by the Karbi people of Northeast India, reflecting their cultural identity and heritage.
  • 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: VAPO
Triple: [Pune International Airport, ICAOcode, VAPO]
Generated description
VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VAPO
Target entity description: VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
  • A. Vuse
    Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
  • 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. VABO
    VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
  • D. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • E. vamkok
    Vamkok is a traditional garment worn by the Karbi people of Northeast India, reflecting their cultural identity and heritage.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9617adc8190874b97a612fa7c72 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b8e00c819093af24f27eee793b completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5346fb3648190b2b72e10179588ed completed March 14, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69b534e98b8081909c2b71ff20fe0bb4 completed March 14, 2026, 10:14 a.m.
Created at: March 9, 2026, 3:31 p.m.