Triple

T7481806
Position Surface form Disambiguated ID Type / Status
Subject Murad II E176776 entity
Predicate familyName P18 FINISHED
Object Osmanoğlu E666645 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: Osmanoğlu | Statement: [Murad II, familyName, Osmanoğlu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osmanoğlu
Context triple: [Murad II, familyName, Osmanoğlu]
  • A. Osmanoğlu chosen
    Osmanoğlu is the surname borne by descendants of the Ottoman imperial dynasty, historically associated with the ruling house of the Ottoman Empire.
  • B. Murat
    Murat is a historic small town in south-central France, known for its volcanic landscape setting in the Cantal region and its traditional stone architecture.
  • C. Mehmet
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • D. Gaziosmanpaşa
    Gaziosmanpaşa is a densely populated residential and commercial district on the European side of Istanbul, known for its rapid urbanization and diverse working- and middle-class communities.
  • E. Osman I
    Osman I was the founder and first ruler of the Ottoman dynasty, which grew into one of history’s most powerful empires.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c68bcf081908a2c280152d887f0 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:42 p.m.