Triple

T22723169
Position Surface form Disambiguated ID Type / Status
Subject GEG E561918 entity
Predicate hasFAAIdentifier P420 FINISHED
Object GEG 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: GEG | Statement: [GEG, hasFAAIdentifier, GEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEG
Context triple: [GEG, hasFAAIdentifier, GEG]
  • A. GEG chosen
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • B. GEZ
    GEZ (Gebühreneinzugszentrale) was the former German public broadcasting fee collection agency responsible for administering and collecting mandatory license fees for public radio and television.
  • C. Geg
    Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • D. GEC
    GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
  • E. GEC
    GEC (General Electric Company) was a major British industrial conglomerate known for its extensive activities in electronics, electrical engineering, and defense.
  • 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.