Triple

T30673772
Position Surface form Disambiguated ID Type / Status
Subject Vienna (Marvel Cinematic Universe) E780859 entity
Predicate continentInUniverse P106344 FINISHED
Object Europe (Marvel Cinematic Universe) NE NERFINISHED

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: Europe (Marvel Cinematic Universe) | Statement: [Vienna (Marvel Cinematic Universe), continentInUniverse, Europe (Marvel Cinematic Universe)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continentInUniverse
Context triple: [Vienna (Marvel Cinematic Universe), continentInUniverse, Europe (Marvel Cinematic Universe)]
  • A. alsoContinent
    Indicates that two entities share the same continent or that one entity is located on a continent in addition to another.
  • B. continentType
    Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
  • C. continentFound chosen
    Indicates that a specified continent is the location where a particular entity is found or occurs.
  • D. nativeContinents
    Indicates the continents where an entity (typically a species or group) originally occurs or is naturally indigenous.
  • E. continentScope
    Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
  • 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_69f224a7fc208190a07d6d3879b31640 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: April 29, 2026, 8:32 p.m.