Triple

T19522333
Position Surface form Disambiguated ID Type / Status
Subject captain general E488430 entity
Predicate isOftenEquivalentTo P107996 FINISHED
Object supreme commander of armed forces in a region 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: supreme commander of armed forces in a region | Statement: [captain general, isOftenEquivalentTo, supreme commander of armed forces in a region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOftenEquivalentTo
Context triple: [captain general, isOftenEquivalentTo, supreme commander of armed forces in a region]
  • A. equivalentTo
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • B. hasEquivalent
    Indicates that two entities are considered equal in value, meaning, or function within a given context.
  • C. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • D. hasEquivalentCondition
    Indicates that one condition is logically or functionally equivalent to another condition.
  • E. oftenEquatedWith chosen
    Indicates that one entity is frequently regarded, interpreted, or treated as being the same as or equivalent to another entity, though not necessarily strictly identical.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a1ae9881908dfdcc94490c57aa completed April 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69e514c9c00481909b76bda67957e58b completed April 19, 2026, 5:45 p.m.
Created at: April 10, 2026, 1:40 p.m.