Triple

T7331728
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Burbank Airport E169015 entity
Predicate hasTerminal P182 FINISHED
Object Terminal A E169017 NE 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: Terminal A | Statement: [Hollywood Burbank Airport, hasTerminal, Terminal A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal A
Context triple: [Hollywood Burbank Airport, hasTerminal, Terminal A]
  • A. Terminal A
    Terminal A is one of the main passenger terminals at Orlando International Airport, serving numerous domestic and international flights with a variety of airlines and amenities.
  • B. Terminal A
    Terminal A is one of the passenger terminals at John Wayne Airport in Orange County, California, serving commercial airline flights and airport services.
  • C. Terminal A
    Terminal A is one of the passenger terminals at Boston Logan International Airport, serving as a hub for several domestic and international airline operations.
  • D. Terminal A
    Terminal A is one of the main passenger terminals at Newark Liberty International Airport, serving as a hub for various domestic and regional airline operations.
  • E. Terminal A chosen
    Terminal A is one of the passenger terminals at Hollywood Burbank Airport, serving as a primary facility for airline check-in, security screening, and boarding.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0bf93dc8190931c13865ba827dd completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef1ac84c819095f03cf731f11c01 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:03 p.m.