Triple

T23343770
Position Surface form Disambiguated ID Type / Status
Subject KNE E591801 entity
Predicate abbreviation P43 FINISHED
Object KNE 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: KNE | Statement: [KNE, abbreviation, KNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNE
Context triple: [KNE, abbreviation, KNE]
  • A. KNE chosen
    KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
  • B. KNE
    KNE is the ICAO airline designator assigned to Flynas, a Saudi Arabian low-cost carrier.
  • C. KNEBV
    KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
  • D. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • E. KN
    KN is the vehicle registration code assigned to the city of Konstanz and its surrounding district in the German state of Baden-Württemberg.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198358fb8819094c74cfd53cbab44 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.