Triple

T5846839
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Iranian languages E129731 entity
Predicate hasHistoricalLanguage P7165 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: [Southeastern Iranian languages, hasHistoricalLanguage, Saka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saka
Context triple: [Southeastern Iranian languages, hasHistoricalLanguage, 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. Sokar
    Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
  • E. Hira
    Hira was an important pre-Islamic Arab city and cultural center, known especially as a hub of Lakhmid rule and early Arabic Christian civilization near present-day Kufa in Iraq.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0351157508190a78d2a7141e0cee8 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.