Triple

T9067042
Position Surface form Disambiguated ID Type / Status
Subject Beni-Amer E217269 entity
Predicate language P15 FINISHED
Object Tigre language E760038 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: Tigre language | Statement: [Beni-Amer, language, Tigre language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigre language
Context triple: [Beni-Amer, language, Tigre language]
  • A. Tigre language chosen
    Tigre language is a Semitic language of the Afroasiatic family spoken primarily by the Tigre people in Eritrea and parts of Sudan.
  • B. Tapirapé language
    Tapirapé is an indigenous Tupian language spoken by the Tapirapé people of Brazil, known for its complex morphology and endangered status.
  • C. Tigak language
    The Tigak language is an Austronesian language spoken by the Tigak people of New Ireland Province in Papua New Guinea.
  • D. Curripaco language
    The Curripaco language is an Arawakan language spoken by the Curripaco people of the Northwest Amazon region in Brazil, Colombia, and Venezuela.
  • E. Tiriyó language
    The Tiriyó language is an indigenous Cariban language spoken by the Tiriyó people in parts of Brazil and Suriname, known for its rich oral tradition and relatively small speaker community.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bde9c08190a4f568fbccc3c3e9 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:11 p.m.