Triple

T20088273
Position Surface form Disambiguated ID Type / Status
Subject Ditidaht E496195 entity
Predicate closelyRelatedTo P37 FINISHED
Object Makah 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: Makah language | Statement: [Ditidaht, closelyRelatedTo, Makah language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makah language
Context triple: [Ditidaht, closelyRelatedTo, Makah language]
  • A. Makah language chosen
    The Makah language is a critically endangered Southern Wakashan language traditionally spoken by the Makah people of the northwestern Olympic Peninsula in Washington State, USA.
  • B. Makasae language
    The Makasae language is a Papuan language spoken primarily in the eastern part of Timor-Leste by the Makasae people.
  • C. Mahikan language
    Mahikan language is an Algonquian language historically spoken by the Mahican people of the northeastern United States, particularly in the Hudson River Valley region.
  • D. Kapingamarangi language
    The Kapingamarangi language is a Polynesian outlier language spoken primarily on Kapingamarangi Atoll in the Federated States of Micronesia.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655c7de081909a400c736e92495d completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:16 p.m.