Triple

T376684
Position Surface form Disambiguated ID Type / Status
Subject English Standard Version E8386 entity
Predicate allowsLimitedQuotation P7913 FINISHED
Object yes 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: yes | Statement: [English Standard Version, allowsLimitedQuotation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsLimitedQuotation
Context triple: [English Standard Version, allowsLimitedQuotation, yes]
  • A. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • B. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • C. eligibleUses chosen
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • D. allows
    Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
  • E. scopeOfUse
    Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec169a848190a577aa093c878839 completed Feb. 28, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69a2e96351cc8190a55adf95f8c27e9e completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.