Triple

T222955
Position Surface form Disambiguated ID Type / Status
Subject Sranan Tongo E4255 entity
Predicate hasStandardizationEfforts P7791 FINISHED
Object orthography development 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: orthography development | Statement: [Sranan Tongo, hasStandardizationEfforts, orthography development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStandardizationEfforts
Context triple: [Sranan Tongo, hasStandardizationEfforts, orthography development]
  • A. hasStandardizationEffort chosen
    Indicates that there is an organized effort or process to standardize something, such as practices, formats, or specifications, across relevant entities or contexts.
  • B. hasStandardizationBody
    Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
  • C. standardizationInfluence
    Indicates the extent to which one entity’s standards, norms, or standardization efforts shape, guide, or constrain another entity’s practices, processes, or specifications.
  • D. laterStandardization
    Indicates that one entity becomes standardized or formally established at a later time than another entity.
  • E. standardizedIn
    Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c705fd88190bfee7f5e1f7cee17 completed Feb. 28, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69a25b5617788190814358aee3f7ae37 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.