Triple

T22380993
Position Surface form Disambiguated ID Type / Status
Subject SKO E553271 entity
Predicate hasAbbreviation P43 FINISHED
Object SKO 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: SKO | Statement: [SKO, hasAbbreviation, SKO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKO
Context triple: [SKO, hasAbbreviation, SKO]
  • A. SKO chosen
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • B. SKO
    SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
  • C. SKCO
    SKCO is the ICAO airport code assigned to La Florida Airport in Colombia.
  • D. S-K-O
    S-K-O was an American country music trio best known for their 1986 hit "Baby's Got a New Baby" and for blending tight harmonies with contemporary Nashville songwriting.
  • E. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582c05fc8190836ae008426177a5 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.