Triple

T14601489
Position Surface form Disambiguated ID Type / Status
Subject Stange E342714 entity
Predicate hasVillage P4011 FINISHED
Object Romedal E1061044 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: Romedal | Statement: [Stange, hasVillage, Romedal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romedal
Context triple: [Stange, hasVillage, Romedal]
  • A. Romedal chosen
    Romedal is a village in Innlandet county, Norway, situated within Stange municipality and known historically as a local agricultural and parish center.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Reinheim
    Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
  • D. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • E. Romsdalen
    Romsdalen is a dramatic valley in western Norway known for its steep mountains, deep river gorge, and popular hiking and climbing routes.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.