Triple

T1294993
Position Surface form Disambiguated ID Type / Status
Subject Battle of New Orleans E27633 entity
Predicate involvement P1256 FINISHED
Object Barataria pirates allied with the United States 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: Barataria pirates allied with the United States | Statement: [Battle of New Orleans, involvement, Barataria pirates allied with the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvement
Context triple: [Battle of New Orleans, involvement, Barataria pirates allied with the United States]
  • A. involves chosen
    Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
  • B. participation
    Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
  • C. oftenInvolvedWith
    Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
  • D. involvedPower
    Indicates that a particular power, authority, or state is a participant or actor in the referenced event, situation, or relationship.
  • E. frontInvolved
    Indicates that an entity is directly involved in or associated with the front (e.g., front line, front-facing part, or leading edge) of another entity or situation.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.