Triple

T12971554
Position Surface form Disambiguated ID Type / Status
Subject Tanimbar Islands E321408 entity
Predicate language P15 FINISHED
Object Selaru language E148731 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: Selaru language | Statement: [Tanimbar Islands, language, Selaru language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selaru language
Context triple: [Tanimbar Islands, language, Selaru language]
  • A. Selaru language chosen
    The Selaru language is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands, known for its place within the Central Malayo-Polynesian subgroup.
  • B. Saluan language
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • C. Sura language
    The Sura language is a Chadic language of the Afroasiatic family spoken by the Sura people in central Nigeria.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Suri language
    The Suri language is a Surmic language spoken by the Suri (Surma) people of southwestern Ethiopia, known for its complex tone system and rich oral tradition.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ea91f08190b1daf6d05621acf9 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:36 p.m.