Triple

T3715069
Position Surface form Disambiguated ID Type / Status
Subject Hacettepe University E81507 entity
Predicate hasHospital P105 FINISHED
Object Hacettepe University Hospitals E81507 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: Hacettepe University Hospitals | Statement: [Hacettepe University, hasHospital, Hacettepe University Hospitals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hacettepe University Hospitals
Context triple: [Hacettepe University, hasHospital, Hacettepe University Hospitals]
  • A. Şişli Campus
    Şişli Campus is one of Istanbul University’s urban campuses located in the Şişli district of Istanbul, Turkey.
  • B. Muwasat University Hospital
    Muwasat University Hospital is a major teaching and healthcare facility affiliated with Damascus University in Syria.
  • C. Gazi University
    Gazi University is a major public research university in Turkey, known for its wide range of academic programs and its central role in higher education in Ankara.
  • D. Ege University
    Ege University is a major public research university located in İzmir, Turkey, known for its comprehensive academic programs and large campus.
  • E. Hacettepe University chosen
    Hacettepe University is a major public research university in Turkey, renowned for its strong programs in medicine, science, and engineering.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ce253c8190ada8eaa395fd3d5c completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0f690c819091d9caf9271f9bbd completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.