Triple

T24877764
Position Surface form Disambiguated ID Type / Status
Subject Mangalore International Airport E622619 entity
Predicate internationalStatusGranted P27545 FINISHED
Object 2006 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: 2006 | Statement: [Mangalore International Airport, internationalStatusGranted, 2006]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internationalStatusGranted
Context triple: [Mangalore International Airport, internationalStatusGranted, 2006]
  • A. hasInternationalStatus chosen
    Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
  • B. hasNoInternationalStatus
    Indicates that an entity lacks any recognized international standing, role, or official status in global or cross-border contexts.
  • C. internationalUsage
    Indicates that something is used or applied across multiple countries or in an international context.
  • D. isInternational
    Indicates that something has a connection to, involves, or extends across more than one country.
  • E. authorizedCountry
    Indicates that one entity (such as an activity, product, or permission) is officially allowed, recognized, or valid within the jurisdiction of a specified country.
  • 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_69e2fac4aa848190b3446a3922cec150 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
Created at: April 18, 2026, 5:24 a.m.