Triple

T6760351
Position Surface form Disambiguated ID Type / Status
Subject Battle of Formigny E154573 entity
Predicate EnglishObjective P73330 FINISHED
Object relieve the English garrison at Caen 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: relieve the English garrison at Caen | Statement: [Battle of Formigny, EnglishObjective, relieve the English garrison at Caen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: EnglishObjective
Context triple: [Battle of Formigny, EnglishObjective, relieve the English garrison at Caen]
  • A. englishFlagship
    Indicates that an entity participates in or is associated with an English flagship program (typically an intensive, advanced English language or studies track).
  • B. EnglishTranslation
    Indicates that one expression is the English-language translation equivalent of another expression.
  • C. EnglishRole
    Indicates that one entity serves a particular role or function within the context of the English language for another entity.
  • D. EnglishCommander
    Indicates that one entity serves as a military commander or leader for English forces in relation to another entity.
  • E. EnglishVersionFeature
    Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09227108190b253b91967831a85 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d3264b7481908816a4d19543fb7b completed March 27, 2026, 6:57 p.m.
Created at: March 27, 2026, 2:12 p.m.