Triple

T1332450
Position Surface form Disambiguated ID Type / Status
Subject Sranan E28672 entity
Predicate hasStandardizationEffortsBy P7791 FINISHED
Object Surinamese linguists 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: Surinamese linguists | Statement: [Sranan, hasStandardizationEffortsBy, Surinamese linguists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStandardizationEffortsBy
Context triple: [Sranan, hasStandardizationEffortsBy, Surinamese linguists]
  • 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. standardizationStatus
    Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
  • C. hasStandardizationBody
    Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
  • D. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • E. standardizationApproach
    Indicates the method or strategy used to establish, implement, or align with a common standard across entities or processes.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e7f1388190a6e4eb65a7997380 completed March 1, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.