Triple

T7553282
Position Surface form Disambiguated ID Type / Status
Subject UniTS E178589 entity
Predicate abbreviation P43 FINISHED
Object UniTS E178589 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: UniTS | Statement: [UniTS, abbreviation, UniTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UniTS
Context triple: [UniTS, abbreviation, UniTS]
  • A. UniTS chosen
    UniTS is the commonly used abbreviation for the University of Trieste, a public research university located in Trieste, Italy.
  • B. TAS Italia
    TAS Italia is the Italian branch of Thales Alenia Space, specializing in the design and manufacture of advanced space systems and technologies.
  • C. UniFE
    UniFE is the commonly used abbreviation for the University of Ferrara, a public research university located in Ferrara, Italy.
  • D. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • E. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b8165481908285fc9697fe4c99 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f3602008190aa91cf55e43bdf30 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.