Triple

T1521014
Position Surface form Disambiguated ID Type / Status
Subject Tetum E32226 entity
Predicate hasVariant P455 FINISHED
Object Tetun Belu E148730 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: Tetun Belu | Statement: [Tetum, hasVariant, Tetun Belu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetun Belu
Context triple: [Tetum, hasVariant, Tetun Belu]
  • A. Tetun language chosen
    The Tetun language is an Austronesian language spoken primarily in Timor-Leste, where it serves as one of the main national and official languages.
  • B. Mari language
    The Mari language is a Uralic language spoken primarily by the Mari people in the Mari El Republic and surrounding regions of Russia, known for its distinct dialects and rich oral tradition.
  • C. Tetum
    Tetum is an Austronesian language and one of the official languages of Timor-Leste, widely used in government, education, and daily communication.
  • D. Tontemboan language
    The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
  • E. Bislama
    Bislama is an English-based creole language widely spoken in Vanuatu and used as a key lingua franca across its many islands and communities.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907f071848190a5fb8fa1b97ef4de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401616ec81908edd9dcb9f4a0184 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:26 p.m.