Triple

T29434305
Position Surface form Disambiguated ID Type / Status
Subject Noida International Airport E746523 entity
Predicate plannedCertification P180244 FINISHED
Object carbon-neutral airport 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: carbon-neutral airport | Statement: [Noida International Airport, plannedCertification, carbon-neutral airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: plannedCertification
Context triple: [Noida International Airport, plannedCertification, carbon-neutral airport]
  • A. courseCertification
    Indicates that an entity has been formally certified as having successfully completed a particular course.
  • B. promotesCertification
    Indicates that one entity actively supports, encourages, or advances the attainment or recognition of a certification for another entity.
  • C. certificationBy
    Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
  • D. includesCertification
    Indicates that one entity contains, lists, or encompasses a specified certification as part of its attributes or offerings.
  • E. canCertify
    Indicates that one entity has the authority or capability to officially certify another entity or its attributes.
  • F. None of above. chosen

Provenance (4 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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
PDg Predicate description generation batch_69f739a58b3c81908abc2b8738a65678 completed May 3, 2026, 12:03 p.m.
Created at: April 28, 2026, 3:15 p.m.