Triple

T13402885
Position Surface form Disambiguated ID Type / Status
Subject Brugg District E319876 entity
Predicate hasHistoricTown P847 FINISHED
Object Brugg E270538 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: Brugg | Statement: [Brugg District, hasHistoricTown, Brugg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brugg
Context triple: [Brugg District, hasHistoricTown, Brugg]
  • A. Brugg chosen
    Brugg is a historic Swiss town in the canton of Aargau, known for its medieval heritage and strategic location near the confluence of the Aare, Reuss, and Limmat rivers.
  • B. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • C. Beringen
    Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
  • D. Turnhout
    Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
  • E. Bruges
    Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
  • 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_69f75475d7648190b050e44a5312d13d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:34 p.m.