Triple

T6771635
Position Surface form Disambiguated ID Type / Status
Subject Tafi language E155056 entity
Predicate isRelatedTo P37 FINISHED
Object Avatime language E155045 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: Avatime language | Statement: [Tafi language, isRelatedTo, Avatime language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avatime language
Context triple: [Tafi language, isRelatedTo, Avatime language]
  • A. Avatime language chosen
    Avatime language is a Niger-Congo language spoken by the Avatime people in the Volta Region of Ghana, known for its tonal system and advanced vowel distinctions.
  • B. Avikam language
    The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • C. Avokaya language
    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.
  • D. Tai Aiton language
    The Tai Aiton language is a Southwestern Tai language spoken by the Tai Aiton ethnic community in northeastern India, particularly in Assam.
  • E. Eonavian language
    Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c75b9c819099b0be616925a0b9 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:13 p.m.