Triple

T1791319
Position Surface form Disambiguated ID Type / Status
Subject Imbabura Kichwa E39500 entity
Predicate hasPreservationConcern P21735 FINISHED
Object language shift to Spanish LITERAL 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: language shift to Spanish | Statement: [Imbabura Kichwa, hasPreservationConcern, language shift to Spanish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPreservationConcern
Context triple: [Imbabura Kichwa, hasPreservationConcern, language shift to Spanish]
  • A. aimsToPreserve
    Indicates an intention or effort by one entity to maintain, protect, or keep another entity in its current or desired state.
  • B. archivalConcern chosen
    Indicates a relationship where something is regarded as important or relevant for preservation, documentation, or long-term archival purposes.
  • C. preservationFactor
    Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
  • D. stateOfPreservation
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • E. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • F. None of above.

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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab75457e54819096b8c6ae8c65550c completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61d165688190924962a98e07ff69 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.