Triple

T14614981
Position Surface form Disambiguated ID Type / Status
Subject Greek Resistance E343060 entity
Predicate hasPart P35 FINISHED
Object EKKA E304365 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: EKKA | Statement: [Greek Resistance, hasPart, EKKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EKKA
Context triple: [Greek Resistance, hasPart, EKKA]
  • A. EKKA chosen
    EKKA was a Greek World War II resistance organization that played a significant role in the anti-Axis struggle and post-liberation political developments.
  • B. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • C. EGKA
    EGKA is the ICAO airport code for Shoreham Airport, a general aviation airfield on the south coast of England.
  • D. Eke
    Eke is a town in the Okpokwu Local Government Area of Benue State, Nigeria.
  • E. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.