Triple

T19914814
Position Surface form Disambiguated ID Type / Status
Subject Watership Down E478637 entity
Predicate containsMythology P9595 FINISHED
Object El-ahrairah legends 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: El-ahrairah legends | Statement: [Watership Down, containsMythology, El-ahrairah legends]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsMythology
Context triple: [Watership Down, containsMythology, El-ahrairah legends]
  • A. linkedToMythology chosen
    Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
  • B. mythologicalCategory
    Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
  • C. hasMythologicalBasis
    Indicates that something is founded on, derived from, or significantly influenced by a mythological story, figure, or tradition.
  • D. hasMythologicalDomain
    Indicates that a mythological figure, deity, or entity is associated with or rules over a particular conceptual or physical domain (such as the sea, war, or the underworld).
  • E. hasMythologicalFeature
    Indicates that an entity possesses a characteristic, attribute, or element derived from mythology or mythological beings.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6599394f081909246006c2e83bacc completed April 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69e537ecda248190895c96afb6243823 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.