Triple

T23409163
Position Surface form Disambiguated ID Type / Status
Subject Saisiyat E560016 entity
Predicate nativeLanguage P151 FINISHED
Object Saisiyat language NE NERFINISHED

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: Saisiyat language | Statement: [Saisiyat, nativeLanguage, Saisiyat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saisiyat language
Context triple: [Saisiyat, nativeLanguage, Saisiyat language]
  • A. Saisiyat language chosen
    The Saisiyat language is an indigenous Austronesian language spoken by the Saisiyat people of northwestern Taiwan.
  • B. Sinasina language
    The Sinasina language is an indigenous Papuan language of the Chimbu (Simbu) Province in Papua New Guinea, traditionally spoken by the Chimbu people.
  • C. Sakizaya language
    The Sakizaya language is an indigenous Austronesian language spoken by the Sakizaya people of eastern Taiwan.
  • D. Sa’och language
    The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
  • E. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50fff10819094e71fb0c11b7d95 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.