Triple

T7673302
Position Surface form Disambiguated ID Type / Status
Subject Tetum E173797 entity
Predicate hasDialects P4251 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, hasDialects, Tetun Belu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetun Belu
Context triple: [Tetum, hasDialects, 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. Tidore language
    The Tidore language is a North Halmahera language of eastern Indonesia, spoken primarily on Tidore Island and nearby areas in North Maluku.
  • C. 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.
  • D. Wuvulu-Aua language
    The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
  • E. Bijago language
    The Bijago language is an Atlantic Niger-Congo language spoken by the Bijagó people of Guinea-Bissau.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e06e948190b1ef2e754604ac5a completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4fa4f9c8190a1cd2c1aa173296d completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4 p.m.