Triple

T9068478
Position Surface form Disambiguated ID Type / Status
Subject Global Open Knowledgebase (GOKb) collaboration E217302 entity
Predicate dataCuration P37873 FINISHED
Object community curation 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: community curation | Statement: [Global Open Knowledgebase (GOKb) collaboration, dataCuration, community curation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataCuration
Context triple: [Global Open Knowledgebase (GOKb) collaboration, dataCuration, community curation]
  • A. dataManagement
    Indicates the relationship in which an entity organizes, stores, maintains, and governs data throughout its lifecycle.
  • B. dataAcquisition
    Indicates the process by which one entity obtains, collects, or retrieves data from another source or system.
  • C. dataMaintained chosen
    Indicates that one entity is responsible for preserving, storing, or keeping another entity’s data up to date and accessible over time.
  • D. dataPortal
    Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
  • E. dataContext
    Indicates the situational or environmental conditions under which data is produced, interpreted, or used, such as source, scope, assumptions, and relevant constraints.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ba250819085fa49e0059d06c1 completed April 1, 2026, 3:47 a.m.
PD Predicate disambiguation batch_69cc65f881248190bfd220bb28a9fb5f completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:11 p.m.