Triple

T18375596
Position Surface form Disambiguated ID Type / Status
Subject Battle of Vailà E446304 entity
Predicate impactOnVenice P130890 FINISHED
Object weakening of Venetian military prestige 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: weakening of Venetian military prestige | Statement: [Battle of Vailà, impactOnVenice, weakening of Venetian military prestige]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impactOnVenice
Context triple: [Battle of Vailà, impactOnVenice, weakening of Venetian military prestige]
  • A. impactOnConstantinople
    Indicates a relationship where one entity has an effect, influence, or consequence specifically on the city of Constantinople.
  • B. heritageImpact
    Indicates the effect that an action, project, or condition has on the preservation, integrity, or value of cultural or historical heritage.
  • C. impactBuilding
    Indicates that one entity physically collides with or strikes a building, causing an impact event.
  • D. functionDuringVenetianRepublic
    Indicates that an entity’s function, role, or operation occurred during the historical period of the Venetian Republic.
  • E. hasTourismImpactOn
    Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51759353481908aa2de599fd2cf3b completed April 19, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69e44fed3fdc81908f4ed6a81db42416 completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e451a1bda48190a9cd1db436d4be62 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 10:45 a.m.