Triple

T13798784
Position Surface form Disambiguated ID Type / Status
Subject Hamar parish E331583 entity
Predicate partOf P40 FINISHED
Object Hamar domprosti
Hamar domprosti is a Church of Norway deanery centered in the Hamar area, overseeing several local parishes including Hamar parish.
E1061971 NE FINISHED

How this triple was built (4 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: [Hamar parish, partOf, Hamar domprosti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamar domprosti
Context triple: [Hamar parish, partOf, Hamar domprosti]
  • A. Hodierna
    Hodierna is an Italian surname most notably associated with the 17th-century astronomer Giovanni Battista Hodierna.
  • B. Hamap
    Hamap is a Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • C. 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.
  • D. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • E. Jomnama
    Jomnama is a traditional festival associated with the Ho community, reflecting their cultural heritage and communal celebrations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hamar domprosti
Triple: [Hamar parish, partOf, Hamar domprosti]
Generated description
Hamar domprosti is a Church of Norway deanery centered in the Hamar area, overseeing several local parishes including Hamar parish.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamar domprosti
Target entity description: Hamar domprosti is a Church of Norway deanery centered in the Hamar area, overseeing several local parishes including Hamar parish.
  • A. Hodierna
    Hodierna is an Italian surname most notably associated with the 17th-century astronomer Giovanni Battista Hodierna.
  • B. Hamap
    Hamap is a Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • C. 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.
  • D. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • E. Jomnama
    Jomnama is a traditional festival associated with the Ho community, reflecting their cultural heritage and communal celebrations.
  • F. None of above. chosen

Provenance (5 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_69f7b086d6d48190b823ed0a4403fbc5 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b138fda88190b2b7ffb51ce02a40 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b28ca218819097fc35042d3b278a completed May 3, 2026, 8:39 p.m.
Created at: April 9, 2026, 10:11 p.m.