Triple

T23121831
Position Surface form Disambiguated ID Type / Status
Subject Battle of Spercheios E576913 entity
Predicate combatantLeaderCapturedOrWounded P22609 FINISHED
Object Bulgarian leadership suffered heavy losses 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: Bulgarian leadership suffered heavy losses | Statement: [Battle of Spercheios, combatantLeaderCapturedOrWounded, Bulgarian leadership suffered heavy losses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: combatantLeaderCapturedOrWounded
Context triple: [Battle of Spercheios, combatantLeaderCapturedOrWounded, Bulgarian leadership suffered heavy losses]
  • A. combatantLeaderKilledOrMortallyWounded
    Indicates that the leader of a combatant force was killed outright or suffered wounds that were fatal in the context of the conflict or engagement.
  • B. casualtiesWounded
    Indicates that an event or situation resulted in people being injured but not killed.
  • C. wasWoundedIn
    Indicates that an entity sustained an injury as a result of a specified event, situation, or conflict.
  • D. capturedCommander chosen
    Indicates that one party has taken a military commander from another party into custody or control.
  • E. capturedInWar
    Indicates that one entity was taken prisoner or seized by another entity as a result of armed conflict or wartime actions.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e50c500819095d59aef44388153 completed April 29, 2026, 4:51 a.m.
PD Predicate disambiguation batch_69ef89f020588190b43393e048e7eda3 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:59 p.m.