Triple

T21201829
Position Surface form Disambiguated ID Type / Status
Subject Yidgha language E522472 entity
Predicate hasAlternativeName P39 FINISHED
Object Yidghah 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: Yidghah | Statement: [Yidgha language, hasAlternativeName, Yidghah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yidghah
Context triple: [Yidgha language, hasAlternativeName, Yidghah]
  • A. Yidgha chosen
    Yidgha is an Eastern Iranian language spoken primarily in parts of northern Pakistan, closely related to the Munji language and noted for its conservative phonological features.
  • B. Yidgha language
    The Yidgha language is an Eastern Iranian language spoken in parts of northeastern Afghanistan, closely related to Munji and noted for preserving archaic features within the Pamir language group.
  • C. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • D. Chazhashi
    Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
  • E. Tashelhiyt
    Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.