Triple

T7673300
Position Surface form Disambiguated ID Type / Status
Subject Tetum E173797 entity
Predicate hasDialects P4251 FINISHED
Object Tetun Terik 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 Terik | Statement: [Tetum, hasDialects, Tetun Terik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetun Terik
Context triple: [Tetum, hasDialects, Tetun Terik]
  • A. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • B. Munduruku
    Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
  • C. 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.
  • D. Madura language
    The Madura language is an Austronesian language spoken primarily on Madura Island and in parts of East Java, Indonesia, by the Madurese people.
  • E. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • 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_69c8a22f74f481909498391bfaf23428 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.