Triple

T14952431
Position Surface form Disambiguated ID Type / Status
Subject Oirat people E372827 entity
Predicate includesTribe P32607 FINISHED
Object Ööld E989818 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: Ööld | Statement: [Oirat people, includesTribe, Ööld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ööld
Context triple: [Oirat people, includesTribe, Ööld]
  • A. Öölds chosen
    The Öölds are a subgroup of the Oirat Mongols, traditionally pastoral nomads of western Mongolia and surrounding regions, known for speaking a dialect of the Oirat language.
  • B. Ötüken
    Ötüken was the sacred central homeland and political heartland of the early Turkic peoples, serving as the core power base of the Göktürk Khaganate in Inner Asia.
  • C. Öömrang
    Öömrang is a variety of the North Frisian language traditionally spoken on the German North Sea island of Amrum.
  • D. Olgossa
    Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
  • E. Den Osse
    Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9a6098819087b6e81bebcf6805 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.