Triple

T7507970
Position Surface form Disambiguated ID Type / Status
Subject Aurangabad Airport E177440 entity
Predicate ICAOcode P419 FINISHED
Object VAAU
VAAU is the ICAO airport code for Aurangabad Airport in Maharashtra, India.
E668958 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: VAAU | Statement: [Aurangabad Airport, ICAOcode, VAAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAAU
Context triple: [Aurangabad Airport, ICAOcode, VAAU]
  • A. VAAH
    VAAH is the ICAO airport code for Sardar Vallabhbhai Patel International Airport serving Ahmedabad in the Indian state of Gujarat.
  • B. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • C. VVCX
    VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
  • D. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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: VAAU
Triple: [Aurangabad Airport, ICAOcode, VAAU]
Generated description
VAAU is the ICAO airport code for Aurangabad Airport in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VAAU
Target entity description: VAAU is the ICAO airport code for Aurangabad Airport in Maharashtra, India.
  • A. VAAH
    VAAH is the ICAO airport code for Sardar Vallabhbhai Patel International Airport serving Ahmedabad in the Indian state of Gujarat.
  • B. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • C. VVCX
    VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
  • D. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b8ab5c8190828ee8d144068828 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83ca56e3c81908c3bae8ad2d9ecd1 completed March 28, 2026, 8:40 p.m.
NEDg Description generation batch_69c83d5884a88190a22c0fb54f9731c7 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c84071abb88190a2dadd57ff088f3d completed March 28, 2026, 8:56 p.m.
Created at: March 27, 2026, 3:45 p.m.