Triple

T13402895
Position Surface form Disambiguated ID Type / Status
Subject Brugg District E319876 entity
Predicate hasMunicipality P847 FINISHED
Object Riniken E978256 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: Riniken | Statement: [Brugg District, hasMunicipality, Riniken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riniken
Context triple: [Brugg District, hasMunicipality, Riniken]
  • A. Riniken chosen
    Riniken is a small municipality in the canton of Aargau in northern Switzerland, situated near the town of Brugg.
  • B. Shinrone
    Shinrone is a small village in County Offaly, Ireland, known for its rural character and historic parish community.
  • C. Sumirago
    Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff99742618819083bba63ce9f27895 completed May 9, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:34 p.m.