Triple

T12931879
Position Surface form Disambiguated ID Type / Status
Subject Terminal B (Newark Liberty International Airport) E309402 entity
Predicate hasPassengerProcessing P18240 FINISHED
Object check-in 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: check-in | Statement: [Terminal B (Newark Liberty International Airport), hasPassengerProcessing, check-in]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPassengerProcessing
Context triple: [Terminal B (Newark Liberty International Airport), hasPassengerProcessing, check-in]
  • A. hasPassengerHandling chosen
    Indicates that an entity is responsible for or involved in managing the processes and services related to handling passengers.
  • B. hasPassengerOperations
    Indicates that an entity conducts or supports transportation services specifically for carrying passengers.
  • C. hasPassengerCheckInAccess
    Indicates that an entity is permitted to perform or access passenger check-in functions for a given transport service or location.
  • D. hasPassengerOperator
    Indicates that an entity (such as a vehicle or service) is operated by an organization or person responsible for carrying passengers.
  • E. hasPassengerTerminalFunction
    Indicates that something serves the role or performs the function of a passenger terminal, supporting the handling and movement of passengers.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97db69f548190a1a693bc0d6c191a completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:42 p.m.