Triple

T13918597
Position Surface form Disambiguated ID Type / Status
Subject Tengri E334683 entity
Predicate relatedDeity P23286 FINISHED
Object Umay E334686 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: Umay | Statement: [Tengri, relatedDeity, Umay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umay
Context triple: [Tengri, relatedDeity, Umay]
  • A. Umay chosen
    Umay is a fertility and protector goddess in Turkic and Mongolic mythology, often associated with motherhood, children, and the nurturing aspects of nature.
  • B. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • C. Sumail
    Sumail is a town in the Dohuk Governorate of the Kurdistan Region in northern Iraq, known historically for its Assyrian population and its role in regional conflicts.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Rabia
    Rabia is the central protagonist of the Turkish novel "Sinekli Bakkal," depicted as a spiritually gifted and morally steadfast young woman navigating the social and cultural tensions of late Ottoman Istanbul.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.