Triple

T12697048
Position Surface form Disambiguated ID Type / Status
Subject Kishangarh Airport, Ajmer E303360 entity
Predicate ICAO code P419 FINISHED
Object VIKG
VIKG is the ICAO airport code assigned to Kishangarh Airport serving Ajmer in the Indian state of Rajasthan.
 E997560 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: VIKG | Statement: [Kishangarh Airport, Ajmer, ICAO code, VIKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VIKG
Context triple: [Kishangarh Airport, Ajmer, ICAO code, VIKG]
  • A. Vig
    Vig is the surname of Butch Vig, the American musician and record producer best known as the drummer for Garbage and producer of Nirvana’s "Nevermind."
  • B. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • C. Vikes
    Vikes is the nickname and athletic brand for the University of Victoria’s varsity sports teams in Canada.
  • D. Vik
    Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
  • E. Vikingen
    Vikingen is a notable literary work by Swedish writer, historian, and philosopher Erik Gustaf Geijer.
  • 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: VIKG
Triple: [Kishangarh Airport, Ajmer, ICAO code, VIKG]
Generated description
VIKG is the ICAO airport code assigned to Kishangarh Airport serving Ajmer in the Indian state of Rajasthan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VIKG
Target entity description: VIKG is the ICAO airport code assigned to Kishangarh Airport serving Ajmer in the Indian state of Rajasthan.
  • A. Vig
    Vig is the surname of Butch Vig, the American musician and record producer best known as the drummer for Garbage and producer of Nirvana’s "Nevermind."
  • B. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • C. Vikes
    Vikes is the nickname and athletic brand for the University of Victoria’s varsity sports teams in Canada.
  • D. Vik
    Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
  • E. Vikingen
    Vikingen is a notable literary work by Swedish writer, historian, and philosopher Erik Gustaf Geijer.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b066348190aedfe186fc4724f9 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672d16f8881908c6d5cfed0b3ec3a completed May 2, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69f67396fdac8190970068b2c39ad2f7 completed May 2, 2026, 9:58 p.m.
Created at: April 9, 2026, 5:22 p.m.