Triple

T27591450
Position Surface form Disambiguated ID Type / Status
Subject Open Policy Agent E699796 entity
Predicate supportsPolicyLanguage P199615 FINISHED
Object Rego
Rego is a high-level declarative policy language used with Open Policy Agent to define and enforce fine-grained access control and other authorization policies.
 E1779699 NE FINISHED

How this triple was built (3 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: Rego | Statement: [Open Policy Agent, supportsPolicyLanguage, Rego]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rego
Triple: [Open Policy Agent, supportsPolicyLanguage, Rego]
Generated description
Rego is a high-level declarative policy language used with Open Policy Agent to define and enforce fine-grained access control and other authorization policies.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: supportsPolicyLanguage
Context triple: [Open Policy Agent, supportsPolicyLanguage, Rego]
  • A. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • B. usesLanguageSupport
    Indicates that one entity makes use of language-related assistance, features, or services provided by another entity.
  • C. hasLanguagePolicyLink
    Indicates that there is a specific URL or reference link associated with an entity that points to its language policy.
  • D. hasOfficialLanguagePolicy
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • E. hasLanguagePolicyContext
    Indicates that there is an associated language-related policy, rule, or regulatory context governing how language is used or managed in relation to the subject.
  • F. None of above. chosen

Provenance (7 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_69ef6a4d71f081909a1235763206b691 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69ff49016dcc8190a8a43868c728b4f1 completed May 9, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0de87648190af1f77af5236da80 completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d169e8888190bf3c8e7f0718a3a5 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d270e0dc81909c04761a32c1e652 completed May 24, 2026, 10:26 a.m.
PD Predicate disambiguation batch_69ff4891924c8190b5be340e2520e012 completed May 9, 2026, 2:45 p.m.
PDg Predicate description generation batch_69ff490096388190832a90e9abbc8d81 completed May 9, 2026, 2:47 p.m.
Created at: April 27, 2026, 2:05 p.m.