Triple

T22780885
Position Surface form Disambiguated ID Type / Status
Subject Inzamam-ul-Haq E563831 entity
Predicate domesticTeam P57174 FINISHED
Object Pakistan International Airlines NE NERFINISHED

How this triple was built (2 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: Pakistan International Airlines | Statement: [Inzamam-ul-Haq, domesticTeam, Pakistan International Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan International Airlines
Context triple: [Inzamam-ul-Haq, domesticTeam, Pakistan International Airlines]
  • A. Pakistan International Airlines chosen
    Pakistan International Airlines is the national flag carrier of Pakistan, operating domestic and international flights across Asia, Europe, and North America.
  • B. AirSial
    AirSial is a Pakistani airline that operates domestic flights, including services to destinations such as Skardu.
  • C. Shaheen Air
    Shaheen Air was a Pakistani private airline that operated domestic and international flights before ceasing operations in 2018.
  • D. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • E. Pakistan Civil Aviation Authority
    The Pakistan Civil Aviation Authority is the governmental body responsible for regulating and overseeing civil aviation and managing major airports across Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2cab0881908df1d0629b43d350 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:28 p.m.