Triple

T16129252
Position Surface form Disambiguated ID Type / Status
Subject Güyük Khan E391350 entity
Predicate givenName P17 FINISHED
Object Güyük E1099888 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: Güyük | Statement: [Güyük Khan, givenName, Güyük]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güyük
Context triple: [Güyük Khan, givenName, Güyük]
  • A. Güyük chosen
    Güyük was a 13th-century Mongol ruler and military leader who later became the third Great Khan of the Mongol Empire.
  • B. Bozüyük
    Bozüyük is a town and district in northwestern Turkey known as one of the major industrial and population centers of Bilecik Province.
  • C. Boyukdash
    Boyukdash is a prominent rocky hill in Azerbaijan’s Gobustan region, renowned for its ancient petroglyphs and archaeological remains that form part of the Gobustan Rock Art Cultural Landscape.
  • D. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • E. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2adf5848190a1dd58bc76dd4ffd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.