Triple

T6183511
Position Surface form Disambiguated ID Type / Status
Subject University of Zadar E137998 entity
Predicate usesAbbreviation P43 FINISHED
Object UNIZD E137998 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: UNIZD | Statement: [University of Zadar, usesAbbreviation, UNIZD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIZD
Context triple: [University of Zadar, usesAbbreviation, UNIZD]
  • A. ZUEL
    ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
  • B. UniBE
    UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
  • C. University of Zadar chosen
    The University of Zadar is a public higher education and research institution in the coastal Croatian city of Zadar, known as one of the oldest university centers in Europe with roots dating back to the 14th century.
  • D. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • E. UNISWA
    UNISWA is the commonly used acronym for the University of Swaziland, the national public university of Eswatini.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.