Triple

T21020155
Position Surface form Disambiguated ID Type / Status
Subject CSS Alabama E517783 entity
Predicate capturedOrDestroyed P23911 FINISHED
Object over 60 Union merchant vessels 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: over 60 Union merchant vessels | Statement: [CSS Alabama, capturedOrDestroyed, over 60 Union merchant vessels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capturedOrDestroyed
Context triple: [CSS Alabama, capturedOrDestroyed, over 60 Union merchant vessels]
  • A. killedOrCaptured
    Indicates that one entity has either killed or taken another entity into custody or control.
  • B. fleetDestroyedBy
    Indicates that a fleet was destroyed as a direct result of actions taken by another specified entity.
  • C. capturedShip chosen
    Indicates that one party has taken control of another party's ship, typically by force or seizure.
  • D. scuttledAfter
    Indicates that one entity was deliberately sunk or rendered inoperable after the occurrence or completion of another specified event or action.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5c905c8190ba2f9f82b6cd1648 completed April 21, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69e5dbf274ac81909bbf245627dc8fdc completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:54 p.m.