Triple

T17370548
Position Surface form Disambiguated ID Type / Status
Subject Norderhov parish E422299 entity
Predicate associatedWith P37 FINISHED
Object Norderhov village NE ONNED1

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: Norderhov village | Statement: [Norderhov parish, associatedWith, Norderhov village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norderhov village
Context triple: [Norderhov parish, associatedWith, Norderhov village]
  • A. Norderhov chosen
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • B. Norderhov parish
    Norderhov parish is a historic ecclesiastical and local community area within the municipality of Ringerike in Norway.
  • C. Skjolden village
    Skjolden village is a small settlement in western Norway known as the innermost village at the end of the Sognefjord, surrounded by dramatic fjord and mountain scenery.
  • D. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • E. Rollag village
    Rollag village is a small rural settlement in Norway that serves as the local hub for municipal services and community life in the Rollag area.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019568a27c8190af1bbe6db75f3e6f in_progress May 11, 2026, 8:38 a.m.
Created at: April 10, 2026, 5:44 a.m.