Triple

T18323092
Position Surface form Disambiguated ID Type / Status
Subject Airside Terminal E438932 entity
Predicate hasPart P35 FINISHED
Object Concourse A NE NERFINISHED

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: [Airside Terminal, hasPart, Concourse A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse A
Context triple: [Airside Terminal, hasPart, Concourse A]
  • A. Concourse A
    Concourse A is one of the main passenger terminal concourses at Hartsfield–Jackson Atlanta International Airport, serving numerous domestic airline gates and amenities.
  • B. Concourse A
    Concourse A is one of the passenger terminal concourses at Cincinnati/Northern Kentucky International Airport, serving as a hub for boarding and deplaning commercial flights.
  • C. Concourse A
    Concourse A is one of the passenger terminal concourses at Cleveland Hopkins International Airport, serving as a boarding area for multiple airline gates and flights.
  • D. Concourse A
    Concourse A is one of the passenger terminal concourses at Norfolk International Airport, serving airline gates and related airport facilities.
  • E. Concourse A
    Concourse A is a passenger terminal area at Dane County Regional Airport in Madison, Wisconsin, serving airline gates and related airport services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa886508190902ffc26b30731ae completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.