Triple

T778399
Position Surface form Disambiguated ID Type / Status
Subject Baker, California E16440 entity
Predicate servedBy P82 FINISHED
Object Baker Airport E141810 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: Baker Airport | Statement: [Baker, California, servedBy, Baker Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baker Airport
Context triple: [Baker, California, servedBy, Baker Airport]
  • A. Baker Airport chosen
    Baker Airport is a small public-use airfield serving the desert community of Baker in San Bernardino County, California.
  • B. Addison Airport
    Addison Airport is a busy general aviation and reliever airport serving private, corporate, and charter flights in the Dallas–Fort Worth metropolitan area.
  • C. Bishop International Airport
    Bishop International Airport is a commercial airport in Flint, Michigan, providing regional and domestic air service for the mid-Michigan area.
  • D. Hillsboro Airport
    Hillsboro Airport is a public general aviation and reliever airport serving the Portland metropolitan area in Hillsboro, Oregon.
  • E. A.N.R. Robinson International Airport
    A.N.R. Robinson International Airport is a major international airport serving the island of Tobago in Trinidad and Tobago, handling both regional and international flights.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74f886081909c27b786e3adbe32 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac939b0fbc8190a205a5033568ba9c completed March 7, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:37 p.m.