Triple

T11402784
Position Surface form Disambiguated ID Type / Status
Subject Karafuto Prefecture E270157 entity
Predicate ethnicGroupPresent P1898 FINISHED
Object Orok E491945 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: Orok | Statement: [Karafuto Prefecture, ethnicGroupPresent, Orok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orok
Context triple: [Karafuto Prefecture, ethnicGroupPresent, Orok]
  • A. Oroko
    The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
  • B. Orkh
    Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
  • C. Oroqen chosen
    The Oroqen are a small Tungusic-speaking indigenous people of northeastern China, traditionally known as hunters and reindeer herders living in the forests of the Greater and Lesser Khingan Mountains.
  • D. Oros
    Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
  • E. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d244870819091e8331eb3bd792d completed April 20, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:34 p.m.