Triple

T9650805
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Iranian languages E233327 entity
Predicate hasExtinctLanguage P2180 FINISHED
Object Saka E123639 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: Saka | Statement: [Northeastern Iranian languages, hasExtinctLanguage, Saka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saka
Context triple: [Northeastern Iranian languages, hasExtinctLanguage, Saka]
  • A. Saka chosen
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • B. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • C. Saka people
    The Saka people were an ancient group of Eastern Iranian nomadic tribes of the Eurasian Steppe, culturally and linguistically related to the Scythians.
  • D. Shuka
    Shuka is a Japanese animation studio known for producing the later seasons and related works of the urban fantasy anime series Durarara!!.
  • E. Suo-Gân
    Suo-Gân is a traditional Welsh lullaby known for its gentle melody and soothing, lyrical character.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9baf9a1c819098c407ea7d42e6d1 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a03438c8190a3419cbed7af4cd4 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:13 p.m.