Triple

T3558832
Position Surface form Disambiguated ID Type / Status
Subject California Hokan E75284 entity
Predicate comprises P35 FINISHED
Object Esselen language E77665 NE FINISHED

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: Esselen language | Statement: [California Hokan, comprises, Esselen language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esselen language
Context triple: [California Hokan, comprises, Esselen language]
  • A. Esselen language chosen
    The Esselen language is an extinct and poorly documented Native American language once spoken by the Esselen people of coastal central California.
  • B. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • C. Walapai language
    The Walapai language is a Native American language of the Yuman family traditionally spoken by the Hualapai people of northwestern Arizona.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0881d50819092332491b9527c9d completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9983f48190bda2749d93c74a8d completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.