Triple

T3579009
Position Surface form Disambiguated ID Type / Status
Subject Ohlone languages E75755 entity
Predicate languageFamilyOf P35117 FINISHED
Object Chochenyo language E362270 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: Chochenyo language | Statement: [Ohlone languages, languageFamilyOf, Chochenyo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chochenyo language
Context triple: [Ohlone languages, languageFamilyOf, Chochenyo language]
  • A. Chochenyo chosen
    Chochenyo is an indigenous Ohlone language traditionally spoken in the East Bay region of the San Francisco Bay Area in California.
  • B. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • C. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • D. Naxi language
    Naxi is a Tibeto-Burman language spoken primarily by the Naxi people in China’s Yunnan and Sichuan provinces, known for its unique pictographic Dongba script and rich oral tradition.
  • E. Gyel dialect
    The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.