Triple

T9108383
Position Surface form Disambiguated ID Type / Status
Subject Upper Navarrese E218533 entity
Predicate standardizationRelation P86526 FINISHED
Object influenced by Standard Basque — 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: influenced by Standard Basque | Statement: [Upper Navarrese, standardizationRelation, influenced by Standard Basque]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardizationRelation
Context triple: [Upper Navarrese, standardizationRelation, influenced by Standard Basque]
  • A. isStandardizationTargetOf
    Indicates that an entity is the object or subject being standardized within a standardization process, activity, or initiative.
  • B. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • C. standardUnitRelation
    Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
  • D. standardizedIn
    Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
  • E. standardizationStatus
    Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
  • F. None of above. chosen

Provenance (4 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
PD Predicate disambiguation batch_69cc65fe5be081909d4470d6317b14a6 completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc66d7bf648190b8bff5b584b84975 completed April 1, 2026, 12:29 a.m.
Created at: March 30, 2026, 7:16 p.m.