Triple

T14619476
Position Surface form Disambiguated ID Type / Status
Subject Siirt Province E343178 entity
Predicate hasHigherEducationInstitution P113 FINISHED
Object Siirt University E1050309 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: Siirt University | Statement: [Siirt Province, hasHigherEducationInstitution, Siirt University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siirt University
Context triple: [Siirt Province, hasHigherEducationInstitution, Siirt University]
  • A. Siirt University chosen
    Siirt University is a public higher education institution located in the city of Siirt in southeastern Turkey.
  • B. Dicle University
    Dicle University is a major public higher education institution located in Diyarbakır in southeastern Turkey.
  • C. Selçuk University
    Selçuk University is a major public research university in Konya, Turkey, known for its wide range of academic programs and significant regional influence in education and research.
  • D. Yaşar University
    Yaşar University is a private foundation university in İzmir, Turkey, known for its English-medium programs and focus on internationalization and research.
  • E. Uşak University
    Uşak University is a public higher education institution located in the city of Uşak in western Turkey, offering a range of undergraduate and graduate programs across various disciplines.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0743288190b3bec8c48b5c7893 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:25 a.m.