Triple

T2061308
Position Surface form Disambiguated ID Type / Status
Subject Marmara University E45795 entity
Predicate hasCampus P116 FINISHED
Object Haydarpaşa Campus E230551 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: Haydarpaşa Campus | Statement: [Marmara University, hasCampus, Haydarpaşa Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haydarpaşa Campus
Context triple: [Marmara University, hasCampus, Haydarpaşa Campus]
  • A. Şişli Campus
    Şişli Campus is one of Istanbul University’s urban campuses located in the Şişli district of Istanbul, Turkey.
  • B. Avcılar Campus
    Avcılar Campus is a major suburban campus of Istanbul University located in the Avcılar district on the European side of Istanbul, housing several faculties and research facilities.
  • C. Beyazıt Campus
    Beyazıt Campus is the historic main campus of Istanbul University, located in Istanbul’s central Beyazıt district and known for its iconic gate and Ottoman-era architecture.
  • D. Bağlarbaşı Campus chosen
    Bağlarbaşı Campus is one of Marmara University's urban campuses in Istanbul, housing various academic units and student facilities.
  • E. Göztepe Campus
    Göztepe Campus is the main and largest campus of Marmara University in Istanbul, housing many of its academic faculties and administrative units.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d0ecf08190aec20338a6ba9911 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5184b7d8819095693cea73e54ff1 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:40 p.m.