Triple

T9502107
Position Surface form Disambiguated ID Type / Status
Subject Concourse E E229167 entity
Predicate hasPassengerCheckInAccess P88973 FINISHED
Object true 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: true | Statement: [Concourse E, hasPassengerCheckInAccess, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPassengerCheckInAccess
Context triple: [Concourse E, hasPassengerCheckInAccess, true]
  • A. passengerAccess
    Indicates that a passenger is allowed to enter, use, or move through a particular vehicle, area, or transportation-related facility.
  • B. hasCheckInSystem
    Indicates that an entity uses or is equipped with a system for registering or recording check-ins.
  • C. hasPassengerRole
    Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
  • D. hasBaggageCheck
    Indicates that an entity provides or is associated with a service or facility for checking in baggage.
  • E. hasPassengerHandling
    Indicates that an entity is responsible for or involved in managing the processes and services related to handling passengers.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983ea6048190a2d7924c8e6d1fbc completed April 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cca5651a588190a3cfebe249a223e5 completed April 1, 2026, 4:56 a.m.
PDg Predicate description generation batch_69cca8c6b0f081908334d6c7cf80e03c completed April 1, 2026, 5:10 a.m.
Created at: March 30, 2026, 7:57 p.m.