Triple

T2239462
Position Surface form Disambiguated ID Type / Status
Subject Runway 14/32 E49358 entity
Predicate hasICAOCode P419 FINISHED
Object KBOS E48657 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: KBOS | Statement: [Runway 14/32, hasICAOCode, KBOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KBOS
Context triple: [Runway 14/32, hasICAOCode, KBOS]
  • A. KBOS chosen
    KBOS is the ICAO airport code for Boston Logan International Airport, a major air transportation hub serving the Greater Boston area in Massachusetts, USA.
  • B. KBUR
    KBUR is the ICAO airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • C. KOAK
    KOAK is the ICAO airport code for Oakland International Airport, a major commercial and cargo airport serving the San Francisco Bay Area in California.
  • D. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • E. KDTW
    KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0bb3fac81908b1e8518951dd160 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71bfb47881908c93333a9e808420 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.