Triple

T21500047
Position Surface form Disambiguated ID Type / Status
Subject Makah language E530450 entity
Predicate hasAlternativeName P39 FINISHED
Object Makah 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: Makah | Statement: [Makah language, hasAlternativeName, Makah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makah
Context triple: [Makah language, hasAlternativeName, Makah]
  • A. Makah chosen
    Makah is an Indigenous language of the Southern Wakashan family traditionally spoken by the Makah people of the northwestern Olympic Peninsula in Washington State, USA.
  • B. Okhuesan
    Okhuesan is a traditional Esan kingdom in present-day Edo State, Nigeria, known for its indigenous monarchy and cultural heritage.
  • C. Ivatans
    The Ivatans are an indigenous ethnolinguistic group of the northern Philippines known for their stone houses, seafaring traditions, and distinct Ivatan language and culture.
  • D. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • E. Orokam
    Orokam is a dialect of the Idoma language spoken by a subgroup of the Idoma people in central Nigeria.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5ae154819090299773b373b921 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.