Triple

T2556393
Position Surface form Disambiguated ID Type / Status
Subject Developer Edition E56738 entity
Predicate productionUseAllowed P7913 FINISHED
Object no 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: no | Statement: [Developer Edition, productionUseAllowed, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionUseAllowed
Context triple: [Developer Edition, productionUseAllowed, no]
  • A. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • B. eligibleUses chosen
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • C. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • D. plannedUseOf
    Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity involving another entity.
  • E. canBeUsedOver
    Indicates that one entity is suitable or valid for use in place of, or in relation to, 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.