Triple

T2553975
Position Surface form Disambiguated ID Type / Status
Subject Jinnah International Airport E56690 entity
Predicate IATAcode P418 FINISHED
Object KHI
KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
 E276917 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: KHI | Statement: [Jinnah International Airport, IATAcode, KHI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHI
Context triple: [Jinnah International Airport, IATAcode, KHI]
  • A. Korla
    Korla is a major oasis city in Xinjiang, China, known as an important transportation and economic hub along the northern edge of the Taklamakan Desert.
  • B. Quetta
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • C. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • D. Hasakah
    Hasakah is a major city in northeastern Syria that serves as an important political and administrative center within the Autonomous Administration of North and East Syria.
  • E. KOTA
    KOTA is a Timorese political party that participated in the resistance movement against Indonesian occupation and later in East Timor’s post-independence politics.
  • 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: KHI
Triple: [Jinnah International Airport, IATAcode, KHI]
Generated description
KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHI
Target entity description: KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
  • A. Korla
    Korla is a major oasis city in Xinjiang, China, known as an important transportation and economic hub along the northern edge of the Taklamakan Desert.
  • B. Quetta
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • C. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • D. Hasakah
    Hasakah is a major city in northeastern Syria that serves as an important political and administrative center within the Autonomous Administration of North and East Syria.
  • E. KOTA
    KOTA is a Timorese political party that participated in the resistance movement against Indonesian occupation and later in East Timor’s post-independence politics.
  • 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.