Triple

T25866518
Position Surface form Disambiguated ID Type / Status
Subject Concourse E E651630 entity
Predicate hasPowerOutlets P56287 FINISHED
Object passenger seating areas 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: passenger seating areas | Statement: [Concourse E, hasPowerOutlets, passenger seating areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowerOutlets
Context triple: [Concourse E, hasPowerOutlets, passenger seating areas]
  • A. offersOnboardPowerOutlets chosen
    Indicates that the subject provides power outlets available for use during the onboard experience.
  • B. powerRival
    Indicates a relationship where two entities compete or conflict over power, influence, or control.
  • C. hasPowerRegulator
    Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
  • D. hasPowerTerminal
    Indicates that an entity is equipped with or connected to a power terminal through which electrical power can be supplied or distributed.
  • E. usesElectricalPlug
    Indicates that one entity operates by being connected to another entity via an electrical plug.
  • 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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 22, 2026, 8:07 a.m.