Triple

T15054787
Position Surface form Disambiguated ID Type / Status
Subject Elisiv of Kiev E379460 entity
Predicate residence P75 FINISHED
Object Nidaros E136993 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: Nidaros | Statement: [Elisiv of Kiev, residence, Nidaros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nidaros
Context triple: [Elisiv of Kiev, residence, Nidaros]
  • A. Nidarosdomen
    Nidarosdomen is a historic Gothic cathedral in Trondheim, Norway, renowned as a national shrine and traditional coronation site for Norwegian monarchs.
  • B. Trondheim chosen
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • C. Bergen Cathedral
    Bergen Cathedral is a historic Lutheran church in Bergen, Norway, serving as the city’s main cathedral and seat of the bishop.
  • D. Stavanger Cathedral
    Stavanger Cathedral is a medieval stone church in Stavanger, Norway, and the country's oldest cathedral still in continuous use.
  • E. Oslo Cathedral
    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.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bdeee48190949b0fe63eb6a21a completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.