Triple

T2452209
Position Surface form Disambiguated ID Type / Status
Subject Runway 16R/34L E53730 entity
Predicate hasIcaoAirportCode P419 FINISHED
Object KSMF E53314 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: KSMF | Statement: [Runway 16R/34L, hasIcaoAirportCode, KSMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSMF
Context triple: [Runway 16R/34L, hasIcaoAirportCode, KSMF]
  • A. KSMF chosen
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • B. KSM
    KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
  • C. KMSY
    KMSY is the ICAO airport code for Louis Armstrong New Orleans International Airport, the primary commercial airport serving the New Orleans metropolitan area in Louisiana, USA.
  • D. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • E. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f52524819088b00009c9dd1823 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f82b220819084f2b5275bf3b596 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:43 p.m.