Triple

T2553976
Position Surface form Disambiguated ID Type / Status
Subject Jinnah International Airport E56690 entity
Predicate ICAOcode P419 FINISHED
Object OPKC
OPKC is the ICAO airport code for Jinnah International Airport, the main international gateway serving Karachi, Pakistan.
E276918 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: OPKC | Statement: [Jinnah International Airport, ICAOcode, OPKC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPKC
Context triple: [Jinnah International Airport, ICAOcode, OPKC]
  • A. KPOU
    KPOU is the ICAO airport code for Hudson Valley Regional Airport in Dutchess County, New York.
  • B. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • C. ORCP
    ORCP is the standard legal abbreviation for the Oregon Rules of Civil Procedure, which govern civil court proceedings in the state of Oregon.
  • D. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • E. OPW
    OPW is the development company responsible for creating the Walney Wind Farm, one of the major offshore wind power projects in the United Kingdom.
  • 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: OPKC
Triple: [Jinnah International Airport, ICAOcode, OPKC]
Generated description
OPKC is the ICAO airport code for Jinnah International Airport, the main international gateway serving Karachi, Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OPKC
Target entity description: OPKC is the ICAO airport code for Jinnah International Airport, the main international gateway serving Karachi, Pakistan.
  • A. KPOU
    KPOU is the ICAO airport code for Hudson Valley Regional Airport in Dutchess County, New York.
  • B. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • C. ORCP
    ORCP is the standard legal abbreviation for the Oregon Rules of Civil Procedure, which govern civil court proceedings in the state of Oregon.
  • D. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • E. OPW
    OPW is the development company responsible for creating the Walney Wind Farm, one of the major offshore wind power projects in the United Kingdom.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30bc6388190b78f2f931eb54041 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d17ecd0819097c6b95307cc7557 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5e0b40e0819098b6cbe31152a18c completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.