Triple

T13598475
Position Surface form Disambiguated ID Type / Status
Subject Victor Gollancz Ltd E324882 entity
Predicate laterSpecialization P110237 FINISHED
Object science fiction and fantasy 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 fiction and fantasy | Statement: [Victor Gollancz Ltd, laterSpecialization, science fiction and fantasy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterSpecialization
Context triple: [Victor Gollancz Ltd, laterSpecialization, science fiction and fantasy]
  • A. branchSpecialization
    Indicates that one branch or subdivision is specialized or focused in a particular area, function, or domain relative to others.
  • B. allowsSpecializationIn
    Indicates that one entity grants permission or provides the option for another entity to pursue a specific specialization within it.
  • C. portrayedAsSpecialization
    Indicates that one entity is depicted or represented as a specialized or more specific version of another entity.
  • D. laterSpecies
    Indicates that one species appears or evolves later in time relative to another species.
  • E. isSpecializedFor
    Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
  • F. None of above. chosen

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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbaf9f3bdc8190838539aaef1f422b completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:49 p.m.