Triple

T2554005
Position Surface form Disambiguated ID Type / Status
Subject Jinnah International Airport E56690 entity
Predicate hasLounges P13530 FINISHED
Object yes LITERAL FINISHED

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: yes | Statement: [Jinnah International Airport, hasLounges, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLounges
Context triple: [Jinnah International Airport, hasLounges, yes]
  • A. hasLoungeBrand
    Indicates that an entity is associated with, or operates under, a particular lounge brand.
  • B. hasCafes
    Indicates that one entity possesses, contains, or includes one or more cafes within it.
  • C. hasCustomerLounge chosen
    Indicates that an entity provides or includes a designated lounge area for customers to use.
  • D. hasTastingRoom
    Indicates that an establishment provides a dedicated space where visitors can sample or taste its products on-site.
  • E. hasChampagneBar
    Indicates that an entity includes, features, or is equipped with a champagne bar.
  • F. None of above.

Provenance (3 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_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.