Triple

T8383228
Position Surface form Disambiguated ID Type / Status
Subject Battle of Lake Okeechobee E197746 entity
Predicate casualtiesSeminole P47610 FINISHED
Object dozens killed and wounded (estimated) 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: dozens killed and wounded (estimated) | Statement: [Battle of Lake Okeechobee, casualtiesSeminole, dozens killed and wounded (estimated)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casualtiesSeminole
Context triple: [Battle of Lake Okeechobee, casualtiesSeminole, dozens killed and wounded (estimated)]
  • A. casualties
    Indicates that an event, action, or situation resulted in people being killed or injured.
  • B. nativeCasualties chosen
    Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
  • C. casualtiesDescription
    Indicates a textual description of the human losses (such as deaths, injuries, or missing persons) resulting from an event or incident.
  • D. NativeAmerican casualties
    Indicates the number of Native Americans who were killed, wounded, or otherwise harmed in a specific conflict or violent event.
  • E. casualtiesTotal
    Indicates the total number of people killed and injured as a result of a particular event or incident.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80ddc0f08190a90d4d9070bf713b completed March 31, 2026, 8:07 a.m.
PD Predicate disambiguation batch_69cb70cfe82881909fe374ba52649e84 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:02 p.m.