Triple

T12516082
Position Surface form Disambiguated ID Type / Status
Subject M4 macro processor E299193 entity
Predicate hasCommandName P15534 FINISHED
Object m4 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: m4 | Statement: [M4 macro processor, hasCommandName, m4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommandName
Context triple: [M4 macro processor, hasCommandName, m4]
  • A. hasCommand chosen
    Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
  • B. containsCommand
    Indicates that one entity includes or embeds a command directed at or executable by another entity.
  • C. hasComponentCommand
    Indicates that an entity includes or controls another entity as a subordinate or component command within an organizational or command structure.
  • D. hasCommandSystem
    Indicates that one entity possesses, uses, or is associated with a particular command or control system.
  • E. hasCommandResponsibilityFor
    Indicates that one entity holds authoritative control over, and is responsible for directing and overseeing, the actions or operations 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_69d6ada5cdd48190860d9ce30aff69be 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.