Triple

T920812
Position Surface form Disambiguated ID Type / Status
Subject RSS E19878 entity
Predicate fullName P16 FINISHED
Object Really Simple Syndication E19878 NE 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: Really Simple Syndication | Statement: [RSS, fullName, Really Simple Syndication]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Really Simple Syndication
Context triple: [RSS, fullName, Really Simple Syndication]
  • A. RSS chosen
    RSS (Really Simple Syndication) is a web feed format that allows users and applications to automatically receive updates from websites, blogs, and other online content sources.
  • B. RDF
    RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
  • C. SSE
    SSE is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • D. Real Simple
    Real Simple is a lifestyle magazine and media brand focused on practical tips for home, organization, cooking, and everyday living.
  • E. RDFS
    RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3120dbc81908362158fe3ffa889 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:40 p.m.