Triple

T5379391
Position Surface form Disambiguated ID Type / Status
Subject Siege of Narva (1704) E113042 entity
Predicate hasApproximateStrengthRussian P2981 FINISHED
Object about 20,000–40,000 soldiers 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: about 20,000–40,000 soldiers | Statement: [Siege of Narva (1704), hasApproximateStrengthRussian, about 20,000–40,000 soldiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateStrengthRussian
Context triple: [Siege of Narva (1704), hasApproximateStrengthRussian, about 20,000–40,000 soldiers]
  • A. strengthRussia
    Indicates a relationship where a level, measure, or display of strength is attributed to or associated with Russia.
  • B. estimatedStrength chosen
    Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
  • C. PrussianStrengthApprox
    Indicates an approximate assessment or estimation of the strength or power associated with Prussia in a given context.
  • D. approximateStrengthFrancoBavarian
    Indicates an estimated or inferred degree of strength or intensity in the Franco-Bavarian relationship or interaction.
  • E. approximateRebelStrength
    Indicates an estimation of the size or capability of rebel forces rather than an exact measured strength.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd88801b188190b9ac35ed89167fa3 completed March 20, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69bd846172788190969f24bc7503c05e completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:03 p.m.