Triple

T16065885
Position Surface form Disambiguated ID Type / Status
Subject Gabrielino people E389729 entity
Predicate language P15 FINISHED
Object Gabrielino language E899199 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: Gabrielino language | Statement: [Gabrielino people, language, Gabrielino language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabrielino language
Context triple: [Gabrielino people, language, Gabrielino language]
  • A. Gabrielino language chosen
    The Gabrielino language, also known as Tongva, is an Uto-Aztecan Indigenous language historically spoken by the Tongva people of the Los Angeles Basin and Southern Channel Islands in California.
  • B. Guahibo language
    The Guahibo language is an indigenous Guahiban language spoken primarily by the Guahibo people of Colombia and Venezuela.
  • C. Cavineña language
    The Cavineña language is an indigenous Tacanan language spoken by the Cavineña people of northern Bolivia.
  • D. Huambisa language
    The Huambisa language is an indigenous Jivaroan language spoken by the Huambisa (Wampis) people of the northern Peruvian Amazon.
  • E. Diegueño language
    The Diegueño language is a Yuman language traditionally spoken by the Kumeyaay (Diegueño) people of southern California and northern Baja California.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837ca628819081dfc439fe322d58 completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ef6648190bf1fe216e78ef660 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.