Triple

T7309433
Position Surface form Disambiguated ID Type / Status
Subject Quetta International Airport E168053 entity
Predicate ICAOcode P419 FINISHED
Object OPQT
OPQT is the ICAO airport code assigned to Quetta International Airport in Quetta, Pakistan.
E655215 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: OPQT | Statement: [Quetta International Airport, ICAOcode, OPQT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPQT
Context triple: [Quetta International Airport, ICAOcode, OPQT]
  • A. ONQ
    ONQ is a Canadian national honorific designation signifying membership in the National Order of Quebec.
  • B. OPST
    OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
  • C. OPGT
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • D. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • E. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • 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: OPQT
Triple: [Quetta International Airport, ICAOcode, OPQT]
Generated description
OPQT is the ICAO airport code assigned to Quetta International Airport in Quetta, Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OPQT
Target entity description: OPQT is the ICAO airport code assigned to Quetta International Airport in Quetta, Pakistan.
  • A. ONQ
    ONQ is a Canadian national honorific designation signifying membership in the National Order of Quebec.
  • B. OPST
    OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
  • C. OPGT
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • D. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • E. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • 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.