Triple

T15450856
Position Surface form Disambiguated ID Type / Status
Subject Rumsen language E370144 entity
Predicate neighboringLanguages P16383 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: [Rumsen language, neighboringLanguages, Esselen language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esselen language
Context triple: [Rumsen language, neighboringLanguages, 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. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • C. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • D. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • E. Kallahan languages
    Kallahan languages are a subgroup of Philippine Cordilleran languages spoken by indigenous communities in the northern Luzon highlands of the Philippines.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b1e9688190a283dbc552072ce0 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.