Triple

T15302075
Position Surface form Disambiguated ID Type / Status
Subject Stavanger harbor E365812 entity
Predicate hasNearby P350 FINISHED
Object Stavanger Cathedral E365815 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: Stavanger Cathedral | Statement: [Stavanger harbor, hasNearby, Stavanger Cathedral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavanger Cathedral
Context triple: [Stavanger harbor, hasNearby, Stavanger Cathedral]
  • A. Stavanger Cathedral chosen
    Stavanger Cathedral is a medieval stone church in Stavanger, Norway, and the country's oldest cathedral still in continuous use.
  • B. Bergen Cathedral
    Bergen Cathedral is a historic Lutheran church in Bergen, Norway, serving as the city’s main cathedral and seat of the bishop.
  • C. Kristiansand Cathedral
    Kristiansand Cathedral is a prominent 19th-century neo-Gothic Lutheran church and landmark located in the center of Kristiansand, Norway.
  • D. Fredrikstad Cathedral
    Fredrikstad Cathedral is a prominent 19th-century Neo-Gothic church and landmark in the Norwegian city of Fredrikstad.
  • E. Tromsø Cathedral
    Tromsø Cathedral is a prominent 19th-century wooden Lutheran church in northern Norway, known as one of the world’s northernmost cathedrals.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff133d171c8190918c9624bcdb7451 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:15 a.m.