Triple

T10762277
Position Surface form Disambiguated ID Type / Status
Subject Shymkent International Airport E253856 entity
Predicate hasIATAcode P2569 FINISHED
Object CIT
CIT is the IATA airport code for Shymkent International Airport in Shymkent, Kazakhstan.
 E884658 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: CIT | Statement: [Shymkent International Airport, hasIATAcode, CIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CIT
Context triple: [Shymkent International Airport, hasIATAcode, CIT]
  • A. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • B. CIT
    The United States Court of International Trade (CIT) is a federal trial court that specializes in cases involving international trade and customs laws.
  • C. CIT
    The CIT is a postseason men's college basketball tournament organized by CollegeInsider.com for teams that do not receive bids to the NCAA Tournament or NIT.
  • D. CIB
    The CIB is a U.S. Army military decoration awarded to infantry and Special Forces soldiers who have actively participated in ground combat.
  • E. CIB
    CIB is the Criminal Investigation Bureau of the Maryland State Police, responsible for conducting major criminal investigations and specialized law enforcement operations within the state.
  • 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: CIT
Triple: [Shymkent International Airport, hasIATAcode, CIT]
Generated description
CIT is the IATA airport code for Shymkent International Airport in Shymkent, Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CIT
Target entity description: CIT is the IATA airport code for Shymkent International Airport in Shymkent, Kazakhstan.
  • A. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • B. CIT
    The United States Court of International Trade (CIT) is a federal trial court that specializes in cases involving international trade and customs laws.
  • C. CIT
    The CIT is a postseason men's college basketball tournament organized by CollegeInsider.com for teams that do not receive bids to the NCAA Tournament or NIT.
  • D. CIB
    The CIB is a U.S. Army military decoration awarded to infantry and Special Forces soldiers who have actively participated in ground combat.
  • E. CIB
    CIB is the Criminal Investigation Bureau of the Maryland State Police, responsible for conducting major criminal investigations and specialized law enforcement operations within the state.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a230ac8190920439076aaeb91e completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2351db9c8190983ac834ea069fb4 completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:16 p.m.