Triple

T10785621
Position Surface form Disambiguated ID Type / Status
Subject Kalapuyan languages E254443 entity
Predicate hasLanguage P15 FINISHED
Object Yoncalla E257781 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: Yoncalla | Statement: [Kalapuyan languages, hasLanguage, Yoncalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoncalla
Context triple: [Kalapuyan languages, hasLanguage, Yoncalla]
  • A. Yoncalla chosen
    Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
  • B. Rinconada
    Rinconada is a Bikol language variety spoken in the Bicol Region of the Philippines, particularly around the Rinconada district of Camarines Sur.
  • C. Rinconada
    Rinconada is a small rural municipality and town in the Los Andes Province of Chile, known for its agricultural activities and Andean foothill landscapes.
  • D. Oroquieta
    Oroquieta is a coastal city in the Philippines that serves as the capital of Misamis Occidental province on the island of Mindanao.
  • E. Villamontes
    Villamontes is a town in southeastern Bolivia known as a regional center in the Gran Chaco area and a key crossing point near the border with Paraguay.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d44b488190a9f3ab9b177e737a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84ddd6f48190a11eae9233d3ef9f completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:17 p.m.