Triple

T13031648
Position Surface form Disambiguated ID Type / Status
Subject UNIKA E326454 entity
Predicate abbreviation P43 FINISHED
Object UNIKA E326454 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: UNIKA | Statement: [UNIKA, abbreviation, UNIKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIKA
Context triple: [UNIKA, abbreviation, UNIKA]
  • A. UNIKA chosen
    UNIKA is the commonly used abbreviation for Soegijapranata Catholic University, a private Catholic higher education institution in Indonesia.
  • B. Unic
    Unic was a French manufacturer of commercial vehicles, particularly trucks and buses, that later became part of the Iveco group through a merger.
  • C. Unieqav
    Unieqav is an experimental electronic music album by German sound artist Alva Noto, known for its minimalist, glitch-infused sonic textures and immersive ambient compositions.
  • D. Omunique
    Omunique is a character appearing in the work "First Sunday," likely contributing to its central comedic and narrative elements.
  • E. Unica Unorum
    Unica Unorum is the Latin motto of Bennington College, generally interpreted as “One of One” to emphasize the institution’s focus on individuality and uniqueness.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efe72348190b52fb4068f5fb829 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c123c36c8190b3fbf9cbb3b7ecf9 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:54 p.m.