Triple

T22731802
Position Surface form Disambiguated ID Type / Status
Subject Gyldenløve War E562150 entity
Predicate historicalRegionInvolved P13711 FINISHED
Object Bohuslen NE NERFINISHED

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: Bohuslen | Statement: [Gyldenløve War, historicalRegionInvolved, Bohuslen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohuslen
Context triple: [Gyldenløve War, historicalRegionInvolved, Bohuslen]
  • A. Bohuslen chosen
    Bohuslän is a historical coastal province in western Sweden along the Skagerrak, known for its rocky archipelago, fishing heritage, and former status as Norwegian territory.
  • B. Veleslavín
    Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
  • C. Dáďo
    Dáďo is a Slovak diminutive or nickname commonly used for the male given name Dávid.
  • D. Hrubá Borša
    Hrubá Borša is a village and municipality in western Slovakia known for its residential development and golf resort near the town of Senec.
  • E. Bochsa
    Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792de040819093aa904bf751a788 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.