Triple

T28594447
Position Surface form Disambiguated ID Type / Status
Subject Esperanto Wikipedia E723735 entity
Predicate hasPageRevisionSystem P54501 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: [Esperanto Wikipedia, hasPageRevisionSystem, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPageRevisionSystem
Context triple: [Esperanto Wikipedia, hasPageRevisionSystem, yes]
  • A. hasRevisionMechanism
    Indicates that an entity is equipped with a mechanism or process for updating, modifying, or revising its content or state.
  • B. hasRevueStructure
    Indicates that something possesses a structure or format characteristic of a revue, typically composed of a sequence of distinct, often loosely connected acts or numbers.
  • C. hasPage
    Indicates that one entity includes, is associated with, or is documented by a specific page (such as a web page or document page).
  • D. supportsVersioning chosen
    Indicates that the subject provides or is compatible with functionality for managing and maintaining multiple versions of an item or resource.
  • E. hasAgreementRevision
    Indicates that an existing agreement has been modified or updated through a specific revision instance.
  • 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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd05ba6b2c81909c62b46237d10365 completed May 7, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69fd03039e48819082b6e12c5453885a completed May 7, 2026, 9:24 p.m.
Created at: April 28, 2026, 4:21 a.m.