Triple

T15924491
Position Surface form Disambiguated ID Type / Status
Subject KLA E386171 entity
Predicate abbreviation P43 FINISHED
Object UÇK E386172 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: UÇK | Statement: [KLA, abbreviation, UÇK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UÇK
Context triple: [KLA, abbreviation, UÇK]
  • A. UÇK chosen
    UÇK is the Albanian-language acronym for the Kosovo Liberation Army, an ethnic Albanian paramilitary organization that fought for Kosovo’s independence from Serbia in the late 1990s.
  • B. Uyar
    Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
  • C. Uig
    Uig is a coastal district on the Isle of Lewis in Scotland’s Outer Hebrides, known for its dramatic beaches, rugged scenery, and archaeological finds such as the Lewis Chessmen.
  • D. Uig
    Uig is a small coastal village on the Isle of Skye in Scotland, known as a ferry port and gateway to the Outer Hebrides.
  • E. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1568424f08190bffe6ee465a0db9a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5adcde88190ae2a845aaa9d31ac completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.