Triple

T11761238
Position Surface form Disambiguated ID Type / Status
Subject Ibibio language E279659 entity
Predicate closelyRelatedTo P37 FINISHED
Object Oro language E940527 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: Oro language | Statement: [Ibibio language, closelyRelatedTo, Oro language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oro language
Context triple: [Ibibio language, closelyRelatedTo, Oro language]
  • A. Oron language chosen
    The Oron language is a Niger-Congo language spoken by the Oron people of southeastern Nigeria, particularly in coastal areas of Akwa Ibom State.
  • B. Wayoró language
    The Wayoró language is an indigenous Tupian language spoken by the Wayoró people of the Brazilian Amazon.
  • C. Orok language
    The Orok language is a critically endangered Tungusic language spoken by the Orok (Uilta) people of Sakhalin Island in Russia.
  • D. Arosi language
    The Arosi language is an Oceanic language spoken primarily on Makira Island in the Solomon Islands.
  • E. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a4be7c481908deab31f2ee20e0c completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.