Triple

T26826183
Position Surface form Disambiguated ID Type / Status
Subject Tuatha Dé Danann E675381 entity
Predicate mythologicalBattle P63719 FINISHED
Object First Battle of Mag Tuired 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: First Battle of Mag Tuired | Statement: [Tuatha Dé Danann, mythologicalBattle, First Battle of Mag Tuired]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mythologicalBattle
Context triple: [Tuatha Dé Danann, mythologicalBattle, First Battle of Mag Tuired]
  • A. mythologicalEvent
    Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
  • B. mythologicalContent
    Indicates that the subject contains, references, or is associated with myths, mythological narratives, or myth-based elements.
  • C. hasMythologicalOpponents chosen
    Indicates that one entity is opposed or challenged by another entity within a mythological or legendary context.
  • D. epicBattle
    Indicates a large-scale, intense conflict or confrontation between opposing entities, often marked by extraordinary stakes or dramatic significance.
  • E. mythologicalSetting
    Indicates that an entity is set within, associated with, or takes place in a mythological or legendary context.
  • 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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61ad8d3348190a3cb44103dce1995 completed May 2, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69f611ad2eb48190ac1ed0090f13f7a9 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 4:58 a.m.