Triple

T5236822
Position Surface form Disambiguated ID Type / Status
Subject Kanpur Airport E118239 entity
Predicate hasIATAcode P2569 FINISHED
Object KNU
KNU is the IATA airport code assigned to Kanpur Airport in Kanpur, India.
 E504514 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: KNU | Statement: [Kanpur Airport, hasIATAcode, KNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNU
Context triple: [Kanpur Airport, hasIATAcode, KNU]
  • A. KNU
    KNU is a leading Ukrainian public research university located in Kyiv, widely regarded as one of the country’s most prestigious higher education institutions.
  • B. KNUQ
    KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • C. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • D. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • E. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • 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: KNU
Triple: [Kanpur Airport, hasIATAcode, KNU]
Generated description
KNU is the IATA airport code assigned to Kanpur Airport in Kanpur, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNU
Target entity description: KNU is the IATA airport code assigned to Kanpur Airport in Kanpur, India.
  • A. KNU
    KNU is a leading Ukrainian public research university located in Kyiv, widely regarded as one of the country’s most prestigious higher education institutions.
  • B. KNUQ
    KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • C. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • D. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • E. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2595c88190b4ca0b99c2f31472 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef820285881909f0e569e020a58ae completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8acecf48190a1d3f56640bf7784 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef92017948190906d1be3551b54c2 completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:49 p.m.