Triple

T5408522
Position Surface form Disambiguated ID Type / Status
Subject Saint Olaf E120951 entity
Predicate deathPlace P21 FINISHED
Object Stiklestad E512981 NE 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: Stiklestad | Statement: [Saint Olaf, deathPlace, Stiklestad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stiklestad
Context triple: [Saint Olaf, deathPlace, Stiklestad]
  • A. Stiklestad chosen
    Stiklestad is a historic village in Norway best known as the site of the Battle of Stiklestad in 1030, where King Olaf II (later Saint Olaf) was killed.
  • B. battle of Stiklestad
    The Battle of Stiklestad was a pivotal 1030 clash in Norway where King Olaf II’s defeat and death later fueled his sainthood and significantly advanced the Christianization of Scandinavia.
  • C. Ludbreg
    Ludbreg is a small historic town in northern Croatia, often noted for its religious heritage and claim to be the geographic center of the country.
  • D. Håkons Hall
    Håkons Hall is a large multi-purpose indoor arena in Lillehammer, Norway, best known for hosting ice hockey events during the 1994 Winter Olympics.
  • E. Blæstad
    Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8794e0c4819082bebf2da5e41201 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33990f248190841493f0720aa8ee completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.