Triple

T7399943
Position Surface form Disambiguated ID Type / Status
Subject Concourse B E170719 entity
Predicate connectedTo P37 FINISHED
Object Concourse A unclear NED1 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: Concourse A | Statement: [Concourse B, connectedTo, Concourse A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse A
Context triple: [Concourse B, connectedTo, Concourse A]
  • A. Concourse A
    Concourse A is one of the passenger terminal concourses at Harry Reid International Airport in Las Vegas, serving various domestic airline gates and amenities.
  • B. Concourse A
    Concourse A is one of the passenger terminal concourses at Palm Beach International Airport, serving airline gates and boarding areas for departing and arriving flights.
  • C. Concourse A
    Concourse A is one of the passenger terminal concourses at Jacksonville International Airport, serving airline gates and related airport facilities.
  • D. Concourse A
    Concourse A is one of the primary passenger terminal concourses at Pittsburgh International Airport, serving various airline gates and amenities.
  • E. Concourse A
    Concourse A is one of the passenger concourses at Spokane International Airport, serving as a boarding area for multiple airline gates and flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ed378308190b925941415db596d completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:10 p.m.