Triple

T5044298
Position Surface form Disambiguated ID Type / Status
Subject Support Command E113622 entity
Predicate hasSuccessorType P60459 FINISHED
Object field army 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: field army | Statement: [Support Command, hasSuccessorType, field army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSuccessorType
Context triple: [Support Command, hasSuccessorType, field army]
  • A. hasNotableSuccessorType
    Indicates that an entity has a successor whose type or category is considered notably significant or distinguished in relation to it.
  • B. successorType chosen
    Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
  • C. isSuccessorTo
    Indicates that one entity directly follows another in an ordered sequence, coming immediately after it.
  • D. hasMoreAggressiveSuccessor
    Indicates that one entity is followed or replaced by another entity that exhibits a higher level of aggressiveness in behavior, strategy, or effect.
  • E. hasModernSuccessor
    Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71529d608190a53470ba6c14bb1d completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:37 p.m.