Triple

T19429549
Position Surface form Disambiguated ID Type / Status
Subject Eastern Keres E486072 entity
Predicate hasAlternativeName P39 FINISHED
Object Eastern Keresan 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: Eastern Keresan | Statement: [Eastern Keres, hasAlternativeName, Eastern Keresan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Keresan
Context triple: [Eastern Keres, hasAlternativeName, Eastern Keresan]
  • A. Eastern Keres chosen
    Eastern Keres is a Keresan Puebloan language traditionally spoken by Native American communities in central New Mexico.
  • B. Western Keres
    Western Keres is a Keresan Puebloan language spoken by the Keres people of western New Mexico.
  • C. Eastern Subanen
    Eastern Subanen is a dialect of the Subanen language spoken by Subanen communities in the eastern regions of the Zamboanga Peninsula in the southern Philippines.
  • D. Eastern Khanty
    Eastern Khanty is a dialectal variety of the Uralic Khanty language spoken by Khanty communities in the eastern part of their traditional territory in western Siberia.
  • E. Evenkia
    Evenkia is a vast, sparsely populated historical region in central Siberia, traditionally inhabited by the Evenk people and characterized by taiga forests, tundra, and extreme subarctic climate.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321b78d08190b86cef7c60cbb61c completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.