Triple

T5917413
Position Surface form Disambiguated ID Type / Status
Subject Battle of Marj Dabiq E131614 entity
Predicate commander P1061 FINISHED
Object Selim I E21410 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: Selim I | Statement: [Battle of Marj Dabiq, commander, Selim I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selim I
Context triple: [Battle of Marj Dabiq, commander, Selim I]
  • A. Selim I chosen
    Selim I was a 16th-century Ottoman sultan who dramatically expanded the empire by conquering the Mamluk Sultanate and bringing the holy cities of Mecca and Medina under Ottoman control.
  • B. Selim
    Selim is the passionate and ill-fated protagonist of Lord Byron’s narrative poem "The Bride of Abydos."
  • C. Suleyman Shah
    Suleyman Shah was a semi-legendary 12th–13th century Turkic tribal leader regarded in Ottoman tradition as the grandfather of Osman I, the founder of the Ottoman Empire.
  • D. Süleyman Çelebi
    Süleyman Çelebi was an early 15th-century Ottoman prince who ruled parts of Anatolia and Rumelia during the Ottoman Interregnum following the defeat of his father Bayezid I.
  • E. Suleyman
    Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037feb9d8819089bf68e3a4a53534 completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7005bdc8881908e116147fe9b0abf completed March 27, 2026, 10:10 p.m.
Created at: March 22, 2026, 3:59 p.m.