Triple

T22723168
Position Surface form Disambiguated ID Type / Status
Subject GEG E561918 entity
Predicate hasICAOCode P419 FINISHED
Object KGEG NE NERFINISHED

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: KGEG | Statement: [GEG, hasICAOCode, KGEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KGEG
Context triple: [GEG, hasICAOCode, KGEG]
  • A. KGEG chosen
    KGEG is the ICAO airport code for Spokane International Airport, a major commercial airport serving Spokane, Washington, and the surrounding Inland Northwest region.
  • B. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • C. KTVU
    KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
  • D. KCBS-TV
    KCBS-TV is a Los Angeles-based television station that serves as the flagship CBS owned-and-operated station on the West Coast.
  • E. KSFO
    KSFO is the ICAO airport code for San Francisco International Airport, a major international aviation hub serving the San Francisco Bay Area in California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17927e0348190a4dba430563ef155 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.