Triple

T22468930
Position Surface form Disambiguated ID Type / Status
Subject A6 motorway E555436 entity
Predicate connects P390 FINISHED
Object interchange Rubigen 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: interchange Rubigen | Statement: [A6 motorway, connects, interchange Rubigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: interchange Rubigen
Context triple: [A6 motorway, connects, interchange Rubigen]
  • A. Rubi
    Rubi is a popular Arabic-language television drama series that helped boost Egyptian actor Amr Waked’s regional fame.
  • B. Rubinius
    Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
  • C. Font-rubí
    Font-rubí is a small municipality in the Alt Penedès comarca of Catalonia, Spain, known for its rural landscape and wine-growing traditions.
  • D. Rubigen chosen
    Rubigen is a small municipality in the canton of Bern in Switzerland, situated near the Aare River just southeast of the city of Bern.
  • E. The Rack
    The Rack is a 1956 courtroom drama film about the psychological and moral aftermath of a Korean War veteran’s imprisonment and alleged collaboration with the enemy.
  • 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.