Triple

T5618179
Position Surface form Disambiguated ID Type / Status
Subject Fort Donelson campaign E147529 entity
Predicate unionForceType P43803 FINISHED
Object Army of the Tennessee elements 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: Army of the Tennessee elements | Statement: [Fort Donelson campaign, unionForceType, Army of the Tennessee elements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: unionForceType
Context triple: [Fort Donelson campaign, unionForceType, Army of the Tennessee elements]
  • A. unionStrength
    Indicates the degree of solidarity, cohesion, or collective power within or among unions or union members.
  • B. UnionForcesType chosen
    Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
  • C. union
    Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
  • D. UnionStrength
    Indicates the degree of solidarity, cohesion, and collective bargaining power within or among unions in a given context.
  • E. typeOfUnionism
    Indicates the specific form or category of unionism (e.g., craft, industrial, political) that characterizes the relationship between workers and their collective organization or movement.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dd5d0081909d18d16596fac507 completed March 22, 2026, 5:07 p.m.
PD Predicate disambiguation batch_69c01b1d4b108190846ce586dc783acf completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:40 p.m.