Triple

T37676555
Position Surface form Disambiguated ID Type / Status
Subject Nick Jr. E938111 entity
Predicate featuresProgramming P66086 FINISHED
Object Dora the Explorer E567518 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: Dora the Explorer | Statement: [Nick Jr., featuresProgramming, Dora the Explorer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresProgramming
Context triple: [Nick Jr., featuresProgramming, Dora the Explorer]
  • A. programmingFeature
    Indicates a relationship where one entity is a specific programming-related capability, construct, or functionality provided or supported by another entity (such as a language, tool, or system).
  • B. programming
    Indicates that an entity writes, develops, or modifies software or code, typically using a programming language to create or control computer programs.
  • C. programmingCharacteristic
    Indicates a relationship where an entity possesses or exhibits a particular property, trait, or quality specifically related to programming.
  • D. programFeature chosen
    Indicates that a particular feature, capability, or component is part of, supported by, or provided within a given program.
  • E. programmingIncludes
    Indicates that one programming-related entity contains, incorporates, or makes use of another as a part, feature, or component.
  • F. None of above.

Provenance (4 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_69f76ed7b1408190ba8c93c53cb8becf completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40ba64661c819094c95ad5a4c6feeb completed June 28, 2026, 6:08 a.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:18 p.m.