Triple

T15179502
Position Surface form Disambiguated ID Type / Status
Subject Action off Cape Spada E362702 entity
Predicate casualtiesItalian P1399 FINISHED
Object high 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: high | Statement: [Action off Cape Spada, casualtiesItalian, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casualtiesItalian
Context triple: [Action off Cape Spada, casualtiesItalian, high]
  • A. casualties chosen
    Indicates that an event, action, or situation resulted in people being killed or injured.
  • B. nativeCasualties
    Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
  • C. primaryCasualtiesFrom
    Indicates that an entity is the main source or cause of the casualties experienced by another entity.
  • D. casualtiesInflictedOn
    Indicates that one party has caused deaths or injuries to another party as a result of a harmful event or action.
  • E. secondaryCasualtiesFrom
    Indicates that an entity experiences indirect or collateral harm as a consequence of another primary event 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00664caac81909bee1268264769f8 completed April 15, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69deb97bd8bc8190b2ad4888f97cf963 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:09 a.m.