Triple

T23629122
Position Surface form Disambiguated ID Type / Status
Subject Battle of Roundway Down E583555 entity
Predicate ParliamentarianLosses P151733 FINISHED
Object heavy casualties and many prisoners 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: heavy casualties and many prisoners | Statement: [Battle of Roundway Down, ParliamentarianLosses, heavy casualties and many prisoners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ParliamentarianLosses
Context triple: [Battle of Roundway Down, ParliamentarianLosses, heavy casualties and many prisoners]
  • A. ParliamentarianCasualties chosen
    Indicates the number or occurrence of deaths or injuries suffered by members of a parliament or legislative body.
  • B. returnedMembersToParliament
    Indicates that an entity (such as an election or constituency) resulted in certain individuals being elected and sent back to serve as members of parliament.
  • C. resultedInParliament
    Indicates that one event, action, or situation caused or led to the formation, change, or outcome of a specific parliament.
  • D. servedInParliament
    Indicates that a person has held a position as a member of a parliamentary body during some period of time.
  • E. parliamentaryGroupDissolved
    Indicates that a parliamentary group has formally ceased to exist or been disbanded.
  • 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_69e248fc8d74819091bd5baef2f36f6f completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e5ae80819085c417e8d81b74ad completed April 29, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:46 p.m.