Triple

T11424238
Position Surface form Disambiguated ID Type / Status
Subject Moru–Madi languages E270703 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Avokaya language E262848 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: Avokaya language | Statement: [Moru–Madi languages, hasMemberLanguage, Avokaya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avokaya language
Context triple: [Moru–Madi languages, hasMemberLanguage, Avokaya language]
  • A. Avokaya language chosen
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • B. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • C. Avikam language
    The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • D. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36004cc81908222321af88d2903 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:35 p.m.