Triple

T12514349
Position Surface form Disambiguated ID Type / Status
Subject echo E299158 entity
Predicate hasImplementationAs P19961 FINISHED
Object external 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: external binary | Statement: [echo, hasImplementationAs, external binary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasImplementationAs
Context triple: [echo, hasImplementationAs, external binary]
  • A. usesImplement
    Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
  • B. hasImplementationDetail chosen
    Indicates that one entity specifies or contains a concrete implementation detail or internal mechanism related to another entity.
  • C. canBeImplementedWith
    Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application of another entity.
  • D. hasNotableImplementationAt
    Indicates that something has a significant or noteworthy implementation located at or associated with a particular place, context, or platform.
  • E. supportsImplementationOf
    Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.