Triple

T10851919
Position Surface form Disambiguated ID Type / Status
Subject Nebula E256165 entity
Predicate hasContentCategory P82611 FINISHED
Object science 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: science | Statement: [Nebula, hasContentCategory, science]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasContentCategory
Context triple: [Nebula, hasContentCategory, science]
  • A. hasCategoryOn
    Indicates that something is assigned to or associated with a specific category within a given context or scope.
  • B. containsCategory
    Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
  • C. hasCategories chosen
    Indicates that an entity is associated with one or more categories that classify or group it.
  • D. hasRelatedCategory
    Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
  • E. hasCategoryWithin
    Indicates that one category is contained within or is a subcategory of another category.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75117b76c8190b0fb216b1428c3c7 completed April 9, 2026, 7:11 a.m.
PD Predicate disambiguation batch_69d70d2b51448190bae748ed6c23edde completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.