Triple

T1532277
Position Surface form Disambiguated ID Type / Status
Subject Battle of Landskrona E32469 entity
Predicate strengthSweden P29908 FINISHED
Object approximately 10,000–12,000 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: approximately 10,000–12,000 soldiers | Statement: [Battle of Landskrona, strengthSweden, approximately 10,000–12,000 soldiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strengthSweden
Context triple: [Battle of Landskrona, strengthSweden, approximately 10,000–12,000 soldiers]
  • A. strengthFrance
    Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
  • B. strength
    Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
  • C. strengthDescription
    Indicates a description or characterization of the degree of strength associated with an entity or relationship.
  • D. AustrianStrength
    Indicates a relationship where an entity possesses or exhibits strength specifically associated with Austria, such as Austrian power, influence, or capability.
  • E. strengthRussoAustrian
    Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
  • F. None of above. chosen

Provenance (4 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a933ddc5a881909cdf503f2bc29bd4 completed March 5, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69a907ae8f688190ad9000ea1e018585 completed March 5, 2026, 4:33 a.m.
PDg Predicate description generation batch_69a933dce3488190b20f0e3d37d16371 completed March 5, 2026, 7:42 a.m.
Created at: March 4, 2026, 7:26 p.m.