Triple

T2589750
Position Surface form Disambiguated ID Type / Status
Subject Takic peoples E58091 entity
Predicate hasLanguage P15 FINISHED
Object Serrano language E237812 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: Serrano language | Statement: [Takic peoples, hasLanguage, Serrano language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serrano language
Context triple: [Takic peoples, hasLanguage, Serrano language]
  • A. Serrano language chosen
    The Serrano language is an endangered Uto-Aztecan Native American language traditionally spoken by the Serrano people of Southern California.
  • B. Diegueño language
    The Diegueño language is a Yuman language traditionally spoken by the Kumeyaay (Diegueño) people of southern California and northern Baja California.
  • C. Guanche language
    Guanche language was the now-extinct indigenous Berber-related language once spoken by the original inhabitants of the Canary Islands before Spanish colonization.
  • D. Resígaro language
    Resígaro is an almost extinct indigenous Arawakan language once spoken in parts of the Peruvian and Colombian Amazon.
  • E. Gallo language
    Gallo language is a regional Romance language of eastern Brittany in France, distinct from both Breton and standard French.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3feb45c81909369a49c3990294a completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af658782f88190a83a4f7256d6a7b2 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.