Triple

T16812059
Position Surface form Disambiguated ID Type / Status
Subject Gjøvik Church E408638 entity
Predicate deanery P19542 FINISHED
Object Toten prosti E331810 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: Toten prosti | Statement: [Gjøvik Church, deanery, Toten prosti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toten prosti
Context triple: [Gjøvik Church, deanery, Toten prosti]
  • A. Toten chosen
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • B. Pohrebysche
    Pohrebysche is a town in central Ukraine, historically part of the Russian Empire, known as the birthplace of influential impresario Sol Hurok.
  • C. Kino der Toten
    Kino der Toten is a fan-favorite, post–World War II theater-themed survival map in Call of Duty: Black Ops’ Zombies mode, known for its eerie atmosphere, teleporters, and iconic layout.
  • D. Pogrzebień
    Pogrzebień is a village in southern Poland, known as a small rural community that maintains international ties such as its twinning with Creutzwald in France.
  • E. Murtede
    Murtede is a civil parish located in the municipality of Cantanhede in Portugal.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.