Triple

T20138756
Position Surface form Disambiguated ID Type / Status
Subject Mustamäe campus E491103 entity
Predicate name P16 FINISHED
Object Mustamäe campus NE NERFINISHED

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: Mustamäe campus | Statement: [Mustamäe campus, name, Mustamäe campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mustamäe campus
Context triple: [Mustamäe campus, name, Mustamäe campus]
  • A. Mustamäe campus chosen
    Mustamäe campus is the main campus area of Tallinn University of Technology in Tallinn, Estonia, housing its primary academic, research, and administrative facilities.
  • B. Linnanmaa campus
    Linnanmaa campus is the main campus area of the University of Oulu in Finland, housing most of its faculties, research facilities, and student services.
  • C. Mustiala campus
    Mustiala campus is a rural campus of Häme University of Applied Sciences in Finland, known for its focus on agriculture, forestry, and environmental studies.
  • D. Sestu campus
    Sestu campus is a satellite campus of the University of Cagliari located in the municipality of Sestu, Italy, hosting various university facilities and academic activities.
  • E. Rauma campus
    Rauma campus is a regional campus of the University of Turku in Finland, known especially for its teacher education and educational research activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667698a188190869c18b925dba2ed completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.