Triple

T11248903
Position Surface form Disambiguated ID Type / Status
Subject Egertorget E266277 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Oslo Cathedral E138512 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: Oslo Cathedral | Statement: [Egertorget, hasNearbyLandmark, Oslo Cathedral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Cathedral
Context triple: [Egertorget, hasNearbyLandmark, Oslo Cathedral]
  • A. Oslo Cathedral chosen
    Oslo Cathedral is the main church of the Church of Norway Diocese of Oslo, a historic Lutheran cathedral located in the center of Norway’s capital city.
  • B. Nidarosdomen
    Nidarosdomen is a historic Gothic cathedral in Trondheim, Norway, renowned as a national shrine and traditional coronation site for Norwegian monarchs.
  • C. Stavanger Cathedral
    Stavanger Cathedral is a medieval stone church in Stavanger, Norway, and the country's oldest cathedral still in continuous use.
  • D. Fredrikstad Cathedral
    Fredrikstad Cathedral is a prominent 19th-century Neo-Gothic church and landmark in the Norwegian city of Fredrikstad.
  • E. Kristiansand Cathedral
    Kristiansand Cathedral is a prominent 19th-century neo-Gothic Lutheran church and landmark located in the center of Kristiansand, Norway.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509f7d404819086cf5d062edbaff5 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.