Triple

T13762545
Position Surface form Disambiguated ID Type / Status
Subject Plessur E330648 entity
Predicate flowsThrough P225 FINISHED
Object city of Chur E376218 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: city of Chur | Statement: [Plessur, flowsThrough, city of Chur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Chur
Context triple: [Plessur, flowsThrough, city of Chur]
  • A. Chur chosen
    Chur is the oldest town in Switzerland and the capital of the canton of Graubünden, known for its historic old town and role as a gateway to the Alps.
  • B. City of Glarus
    The City of Glarus is a historic Swiss town and capital of the canton of Glarus, known for its role in late medieval conflicts and its picturesque Alpine setting.
  • C. Grenchen
    Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
  • D. Türnich
    Türnich is a district of the town of Kerpen in North Rhine-Westphalia, Germany, known as a residential area within the Cologne metropolitan region.
  • E. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ded1e0819097ef42533357caf8 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:10 p.m.