Triple

T13798820
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Hamar E331584 entity
Predicate hasDeanery P19542 FINISHED
Object Hamar domprosti E1061971 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: Hamar domprosti | Statement: [Diocese of Hamar, hasDeanery, Hamar domprosti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamar domprosti
Context triple: [Diocese of Hamar, hasDeanery, Hamar domprosti]
  • A. Hamar domprosti chosen
    Hamar domprosti is a Church of Norway deanery centered in the Hamar area, overseeing several local parishes including Hamar parish.
  • B. Hodierna
    Hodierna is an Italian surname most notably associated with the 17th-century astronomer Giovanni Battista Hodierna.
  • C. Hamap
    Hamap is a Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • D. Hodal
    Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
  • E. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.