Triple

T17112164
Position Surface form Disambiguated ID Type / Status
Subject KTU E415251 entity
Predicate shortName P43 FINISHED
Object KTU E415251 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: [KTU, shortName, KTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTU
Context triple: [KTU, shortName, KTU]
  • A. KTU chosen
    KTU is a leading Lithuanian public research university based in Kaunas, known for its strong engineering, technology, and applied sciences programs.
  • B. KTU
    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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a062d7c81908fe8cdc9e4637168 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.