Triple

T622489
Position Surface form Disambiguated ID Type / Status
Subject André Maginot E14542 entity
Predicate warInjury P3816 FINISHED
Object leg wound in World War I 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: leg wound in World War I | Statement: [André Maginot, warInjury, leg wound in World War I]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: warInjury
Context triple: [André Maginot, warInjury, leg wound in World War I]
  • A. warDamage
    Indicates damage that was caused as a direct consequence of war or armed conflict.
  • B. causeOfInjury
    Indicates that one entity is the source or reason that another entity sustained an injury.
  • C. fatalInjury
    Indicates that an entity causes or sustains an injury that directly results in death.
  • D. casualties
    Indicates that an event, action, or situation resulted in people being killed or injured.
  • E. hasInjuries chosen
    Indicates that an entity has sustained one or more physical or bodily injuries.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49d0069d0819087c83b608f6fc053 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.