Triple

T16747609
Position Surface form Disambiguated ID Type / Status
Subject KISTI E406995 entity
Predicate abbreviation P43 FINISHED
Object KISTI E406995 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: KISTI | Statement: [KISTI, abbreviation, KISTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KISTI
Context triple: [KISTI, abbreviation, KISTI]
  • A. KISTI chosen
    KISTI (Korea Institute of Science and Technology Information) is a South Korean government-funded research institute that provides national-level science and technology information services, supercomputing resources, and research support infrastructure.
  • B. KICT
    KICT is the ICAO airport code for Wichita Dwight D. Eisenhower National Airport in Wichita, Kansas, United States.
  • C. KIS
    KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
  • D. KOPRI
    KOPRI is South Korea’s national polar research institute, responsible for conducting and coordinating the country’s scientific activities in the Arctic and Antarctic regions.
  • E. Korea Basic Science Institute
    The Korea Basic Science Institute is a national research organization in South Korea dedicated to advancing fundamental science through state-of-the-art analytical and experimental facilities.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2439848190a86a5bfc0702e2fe completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52033748190ae207d72d437236b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.