Triple

T7309432
Position Surface form Disambiguated ID Type / Status
Subject Quetta International Airport E168053 entity
Predicate IATAcode P418 FINISHED
Object UET
UET is the IATA airport code for Quetta International Airport, serving the city of Quetta in Pakistan.
 E655214 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: UET | Statement: [Quetta International Airport, IATAcode, UET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UET
Context triple: [Quetta International Airport, IATAcode, UET]
  • A. UEH
    UEH is the French acronym for the State University of Haiti, the country’s main public higher education institution.
  • B. UEW
    UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • C. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • D. UoS
    UoS is a leading British research-intensive university known for its strengths in engineering, oceanography, and computer science.
  • E. UoP
    UoP is the former abbreviation for Savitribai Phule Pune University, a major public state university located in Pune, Maharashtra, India.
  • 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: UET
Triple: [Quetta International Airport, IATAcode, UET]
Generated description
UET is the IATA airport code for Quetta International Airport, serving the city of Quetta in Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UET
Target entity description: UET is the IATA airport code for Quetta International Airport, serving the city of Quetta in Pakistan.
  • A. UEH
    UEH is the French acronym for the State University of Haiti, the country’s main public higher education institution.
  • B. UEW
    UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • C. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • D. UoS
    UoS is a leading British research-intensive university known for its strengths in engineering, oceanography, and computer science.
  • E. UoP
    UoP is the former abbreviation for Savitribai Phule Pune University, a major public state university located in Pune, Maharashtra, India.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebdbd6f481908e69e53dab452656 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e567df3c8190a1baaa7ef9c99d87 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e67a988881909b3d53ab8da43a8e completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e71dc39c8190951424cb543d58df completed March 28, 2026, 2:35 p.m.
Created at: March 27, 2026, 3:01 p.m.