Triple

T5941212
Position Surface form Disambiguated ID Type / Status
Subject Old Iranian languages E132168 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Median language E332075 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: Median language | Statement: [Old Iranian languages, hasNotableLanguage, Median language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Median language
Context triple: [Old Iranian languages, hasNotableLanguage, Median language]
  • A. Median language chosen
    Median language was an ancient Northwestern Iranian language spoken by the Medes in what is now Iran during the first millennium BCE.
  • B. Mixe languages
    Mixe languages are a group of related indigenous Mesoamerican languages spoken primarily by the Mixe people in the highlands of Oaxaca, Mexico.
  • C. Mon language
    Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
  • D. Even language
    Even is a Northern Tungusic language spoken by the Even people of northeastern Siberia in Russia.
  • E. Language
    Language is a leading peer-reviewed linguistics journal known for publishing influential research and critical reviews in the field, including Noam Chomsky’s landmark 1959 critique of behaviorist theories.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c039346a7c81908d94081b666e1d79 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c079dfe4819097598ec1f564e810 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.