Triple

T22468951
Position Surface form Disambiguated ID Type / Status
Subject A6 motorway E555436 entity
Predicate passesNear P416 FINISHED
Object Uetendorf NE NERFINISHED

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: Uetendorf | Statement: [A6 motorway, passesNear, Uetendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uetendorf
Context triple: [A6 motorway, passesNear, Uetendorf]
  • A. Uetendorf chosen
    Uetendorf is a municipality in the canton of Bern in Switzerland, located in the Thun administrative district.
  • B. Haslach
    Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
  • C. Haslach
    Haslach is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
  • D. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • E. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdda62c8190937ac13a4481b4b7 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.