Triple

T11931257
Position Surface form Disambiguated ID Type / Status
Subject Second Division E283914 entity
Predicate topFlightStatus P102230 FINISHED
Object not top flight 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: not top flight | Statement: [Second Division, topFlightStatus, not top flight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topFlightStatus
Context triple: [Second Division, topFlightStatus, not top flight]
  • A. aircraftStatus
    Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
  • B. airlineStatus
    Indicates the current operational or membership state of an airline, such as its activity, certification, or alliance standing.
  • C. ICAOStatus
    Indicates the current operational or certification status of an entity as defined by ICAO (e.g., active, suspended, revoked, or pending).
  • D. flightDisplay
    Indicates that information about a flight is being shown or presented, typically on a screen or display system.
  • E. airTraffic
    Indicates the movement and flow of aircraft through airspace, including their routes, density, and interactions while in flight.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69d8bb3af0188190bfb22be5c97b3349 completed April 10, 2026, 8:56 a.m.
PDg Predicate description generation batch_69d8d399d58c81908dab572aa82426d7 completed April 10, 2026, 10:40 a.m.
Created at: April 8, 2026, 9:45 p.m.