Triple

T8771511
Position Surface form Disambiguated ID Type / Status
Subject Karadeniz Technical University E208473 entity
Predicate shortName P43 FINISHED
Object KTU E400489 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: KTU | Statement: [Karadeniz Technical University, shortName, KTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTU
Context triple: [Karadeniz Technical University, shortName, KTU]
  • A. KTU
    KTU is a leading Lithuanian public research university based in Kaunas, known for its strong engineering, technology, and applied sciences programs.
  • B. KTU chosen
    KTU is the commonly used abbreviation for Konya Technical University, a public technical university located in Konya, Turkey.
  • C. ktu
    ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
  • D. KLE Technological University
    KLE Technological University is an engineering-focused higher education institution in Hubballi-Dharwad, Karnataka, known for its technical programs and research initiatives.
  • E. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2c54c08190a904723d1f0527a4 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.