Triple

T12698057
Position Surface form Disambiguated ID Type / Status
Subject Udege language E303386 entity
Predicate closelyRelatedTo P37 FINISHED
Object Oroch language E995982 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: Oroch language | Statement: [Udege language, closelyRelatedTo, Oroch language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oroch language
Context triple: [Udege language, closelyRelatedTo, Oroch language]
  • A. Oroch language chosen
    The Oroch language is a critically endangered Tungusic language of the Russian Far East, traditionally spoken by the Oroch people along the lower Amur and nearby coastal areas.
  • B. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • C. Karkar-Yuri language
    Karkar-Yuri is a Papuan language of Papua New Guinea, spoken by the Karkar and Yuri peoples in the Sepik region.
  • D. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • E. Olrat language
    The Olrat language is an Oceanic language spoken by a small community in the Banks Islands of northern Vanuatu.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e2292c8190bffb3a8b6e15029c completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:22 p.m.