Triple

T26516590
Position Surface form Disambiguated ID Type / Status
Subject Battle of Rymnik E669828 entity
Predicate strengthRussianAustrian P17249 FINISHED
Object approximately 25,000–30,000 troops 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: approximately 25,000–30,000 troops | Statement: [Battle of Rymnik, strengthRussianAustrian, approximately 25,000–30,000 troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strengthRussianAustrian
Context triple: [Battle of Rymnik, strengthRussianAustrian, approximately 25,000–30,000 troops]
  • A. strengthRussoAustrian chosen
    Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
  • B. AustrianStrength
    Indicates a relationship where an entity possesses or exhibits strength specifically associated with Austria, such as Austrian power, influence, or capability.
  • C. strengthRussia
    Indicates a relationship where a level, measure, or display of strength is attributed to or associated with Russia.
  • D. RussoAustrianObjective
    Indicates a shared objective or goal jointly pursued by Russian and Austrian parties or forces.
  • E. strengthSerbia
    Indicates the relative military, political, or economic power or influence associated with Serbia in a given context.
  • 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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613bd3f308190a936e670bf8a1b4e completed May 2, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:24 a.m.