Triple

T16756093
Position Surface form Disambiguated ID Type / Status
Subject Town of Addison E407208 entity
Predicate transportFacility P25244 FINISHED
Object Addison Airport E83955 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: Addison Airport | Statement: [Town of Addison, transportFacility, Addison Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addison Airport
Context triple: [Town of Addison, transportFacility, Addison Airport]
  • A. Addison Airport chosen
    Addison Airport is a busy general aviation and reliever airport serving private, corporate, and charter flights in the Dallas–Fort Worth metropolitan area.
  • B. George M. Bryan Airport
    George M. Bryan Airport is a public general aviation airport serving the city of Starkville and the surrounding area in Mississippi.
  • C. Seawell Airport
    Seawell Airport was the former name of what is now Grantley Adams International Airport, the main international gateway to Barbados.
  • D. Vance Brand Airport
    Vance Brand Airport is a public general aviation airport serving the city of Longmont, Colorado.
  • E. Eugene F. Correia International Airport
    Eugene F. Correia International Airport is a major airport serving domestic and regional flights for Georgetown and the surrounding areas of Guyana.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abe831ec8190bac05b07db6153c1 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb069cf481908e029b26ad96d3b5 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:21 a.m.