Triple

T22650395
Position Surface form Disambiguated ID Type / Status
Subject Remix E559074 entity
Predicate supportsDataStrategy P13064 FINISHED
Object loader-based data fetching 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: loader-based data fetching | Statement: [Remix, supportsDataStrategy, loader-based data fetching]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDataStrategy
Context triple: [Remix, supportsDataStrategy, loader-based data fetching]
  • A. supportsDataFrom
    Indicates that one entity provides, validates, or underpins the data used or referenced by another entity.
  • B. supportsMissionData
    Indicates that one entity provides the necessary functionality or resources for another entity’s mission-related data to be stored, processed, or utilized.
  • C. usesStrategy chosen
    Indicates that an entity intentionally applies a particular strategy or method to achieve a goal or perform an action.
  • D. supportsDataBinding
    Indicates that one entity enables or is compatible with automatic synchronization of data values between sources and targets (data binding) in another entity.
  • E. supportsDatastoreType
    Indicates that one entity is capable of working with, handling, or being compatible with a specified type of datastore.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703b40b88190aec5cf2fa28bfcbf completed April 29, 2026, 2:43 a.m.
PD Predicate disambiguation batch_69ee6294c4c08190b7e4829f4b9af24b completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:05 p.m.