Triple

T11877871
Position Surface form Disambiguated ID Type / Status
Subject Oro people E282577 entity
Predicate language P15 FINISHED
Object Oro language
The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
E951885 NE FINISHED

How this triple was built (4 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: [Oro people, language, Oro language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oro language
Context triple: [Oro people, language, Oro language]
  • A. Oron language
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oro language
Triple: [Oro people, language, Oro language]
Generated description
The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oro language
Target entity description: The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
  • A. Oron language
    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. chosen

Provenance (5 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1b6a5c81909a18c54205dda09c completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281d8c65081908ebaf4bff5670c47 completed April 29, 2026, 10:10 p.m.
NEDg Description generation batch_69f2b8b73f28819089ac252f7f823efb completed April 30, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69f2c4120f448190ac0ac944e77cb20e completed April 30, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:44 p.m.