Triple

T11655120
Position Surface form Disambiguated ID Type / Status
Subject Dockerfile E276995 entity
Predicate supportsInstruction P100201 FINISHED
Object FROM 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: FROM | Statement: [Dockerfile, supportsInstruction, FROM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsInstruction
Context triple: [Dockerfile, supportsInstruction, FROM]
  • A. supportsInstrument
    Indicates that one entity provides assistance, resources, or functionality that enables another entity (the instrument) to operate or be used effectively.
  • B. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • C. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportedInstrument
    Indicates that an entity provides compatibility with, or operational support for, a specified instrument.
  • E. teachingSupportedBy
    Indicates that a teaching activity is enabled, facilitated, or enhanced by support from another entity (such as resources, tools, services, or personnel).
  • F. None of above. chosen

Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
PDg Predicate description generation batch_69d87f30642c8190ad94fa061cde186b completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:39 p.m.