Triple

T9199236
Position Surface form Disambiguated ID Type / Status
Subject IBM 165 E220793 entity
Predicate dataFormatSupport P23225 FINISHED
Object binary 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: binary | Statement: [IBM 165, dataFormatSupport, binary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataFormatSupport
Context triple: [IBM 165, dataFormatSupport, binary]
  • A. operatesInFormat
    Indicates that an entity functions, performs its role, or is carried out using a specified format.
  • B. supportsTextFormat
    Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
  • C. supportsBackupFormat
    Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
  • D. featuresFormat chosen
    Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
  • E. supportsRowFormat
    Indicates that one entity provides compatibility with or can correctly handle the specified row format of another entity.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd880ab808190aa785a5f1e5d5976 completed April 1, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:25 p.m.