Triple

T28264212
Position Surface form Disambiguated ID Type / Status
Subject The Old Reader E712656 entity
Predicate supportsDataImportFormat P8463 FINISHED
Object OPML NE NERFINISHED

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: OPML | Statement: [The Old Reader, supportsDataImportFormat, OPML]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDataImportFormat
Context triple: [The Old Reader, supportsDataImportFormat, OPML]
  • A. canImportFormat chosen
    Indicates that an entity has the capability to import or read data in a specified format.
  • B. supportsImportExport
    Indicates that one entity provides functionality for importing and exporting data or resources to and from another entity.
  • C. supportsDataFrom
    Indicates that one entity provides, validates, or underpins the data used or referenced by another entity.
  • D. supportsBackupFormat
    Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
  • E. supportsTextFormat
    Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
  • 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_6a007fc9d9688190af411d5841af34be completed May 10, 2026, 12:53 p.m.
PD Predicate disambiguation batch_6a007f64813081909a2950336402073b completed May 10, 2026, 12:51 p.m.
Created at: April 27, 2026, 11:13 p.m.