Triple

T744191
Position Surface form Disambiguated ID Type / Status
Subject Addison E15305 entity
Predicate hasFacility P105 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: [Addison, hasFacility, Addison Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addison Airport
Context triple: [Addison, hasFacility, 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. Austin Straubel International Airport
    Austin Straubel International Airport is the primary commercial airport serving the Green Bay, Wisconsin area, offering regional and limited national air service.
  • C. Sky Harbor Airport
    Sky Harbor Airport is a major international airport serving the Phoenix metropolitan area in Arizona and one of the busiest air travel hubs in the United States.
  • D. Henry E. Rohlsen Airport
    Henry E. Rohlsen Airport is a public airport on the island of St. Croix that serves as one of the main air gateways to the U.S. Virgin Islands.
  • E. Burke Lakefront Airport
    Burke Lakefront Airport is a public airport located on the Lake Erie shoreline in downtown Cleveland, Ohio, primarily serving general aviation and corporate traffic.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a610ba9881908b4e5e7dcc6ed0f5 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6600fa4c8190be934f49ba4b75ca completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:37 p.m.