Triple

T5116544
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bloody Marsh E115348 entity
Predicate strategicObjectiveOfSpain P26024 FINISHED
Object capture of Georgia 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: capture of Georgia | Statement: [Battle of Bloody Marsh, strategicObjectiveOfSpain, capture of Georgia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strategicObjectiveOfSpain
Context triple: [Battle of Bloody Marsh, strategicObjectiveOfSpain, capture of Georgia]
  • A. strategicObjectiveSpain chosen
    Indicates that an entity has a strategic objective specifically related to Spain.
  • B. nationalGoalsForCatalonia
    Indicates a relationship where certain goals or objectives are designated as the national aims specifically for Catalonia.
  • C. obligationsOfSpain
    Indicates that certain duties, responsibilities, or commitments are borne by Spain in a given context.
  • D. effectOnSpain
    Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
  • E. royalistObjective
    Indicates that an entity’s goal, purpose, or intended outcome is to support, preserve, or advance a monarchy or royal authority.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cfa9f88190aa7dfd264e554899 completed March 20, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69bd7160d44081908cc64f3c14d28b81 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:41 p.m.