Triple

T22933282
Position Surface form Disambiguated ID Type / Status
Subject Boengkoe E569503 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Mori 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: Mori language | Statement: [Boengkoe, hasNeighboringLanguage, Mori language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mori language
Context triple: [Boengkoe, hasNeighboringLanguage, Mori language]
  • A. Mori language chosen
    The Mori language is an Austronesian language of Sulawesi, Indonesia, encompassing several closely related varieties including Mori Atas.
  • B. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • C. Miyako language
    The Miyako language is a Southern Ryukyuan language of Japan’s Okinawa Prefecture, spoken primarily on the Miyako Islands and noted for its distinct phonology and endangered status.
  • D. Moru language
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • E. Ishkashimi language
    The Ishkashimi language is an Eastern Iranian Pamir language spoken by a small community in the Ishkashim region of Afghanistan and Tajikistan, noted for its endangered status and distinct phonological and grammatical features.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.