Triple

T15676053
Position Surface form Disambiguated ID Type / Status
Subject Louis the Lion E377446 entity
Predicate ledMilitaryCampaign P59039 FINISHED
Object campaigns against the English in Poitou 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: campaigns against the English in Poitou | Statement: [Louis the Lion, ledMilitaryCampaign, campaigns against the English in Poitou]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ledMilitaryCampaign
Context triple: [Louis the Lion, ledMilitaryCampaign, campaigns against the English in Poitou]
  • A. militaryCampaigns
    Indicates that an entity conducts, participates in, or is associated with organized military operations or campaigns against another entity or within a specific conflict.
  • B. militaryCampaignsIn
    Indicates that a military campaign took place within, or was conducted in, a specified geographic or political area.
  • C. militaryCampaignOf chosen
    Indicates a relationship where a specific military campaign is conducted by, initiated by, or belongs to a particular military force, state, or commander.
  • D. militaryConflict
    Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
  • E. militaryEventMentionedIn
    Indicates that a specific military event is referenced or discussed within a particular document, text, or source.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2e10a4819097eba1ea31e36ac2 completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:16 a.m.