Triple

T7565105
Position Surface form Disambiguated ID Type / Status
Subject University of Tirana E178891 entity
Predicate affiliation P10 FINISHED
Object UNIMED E101713 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: UNIMED | Statement: [University of Tirana, affiliation, UNIMED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIMED
Context triple: [University of Tirana, affiliation, UNIMED]
  • A. UNIMED chosen
    UNIMED is a Mediterranean university association that promotes academic cooperation, research collaboration, and cultural exchange among higher education institutions across the Mediterranean region.
  • B. Medico International
    Medico International is a humanitarian organization based in Germany that supports health and human rights projects worldwide and engages in global justice and anti-war campaigns.
  • C. UNÎMES
    UNÎMES is the acronym for the University of Nîmes, a French public higher education and research institution located in Nîmes, in the Occitanie region.
  • D. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • E. UHC
    UHC is the commonly used abbreviation for the Uttarakhand High Court, the highest judicial authority in the Indian state of Uttarakhand.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fc6a408190abf363a29359e764 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.