Triple

T13084623
Position Surface form Disambiguated ID Type / Status
Subject Essingeleden E310298 entity
Predicate partOf P40 FINISHED
Object European route E4 E118533 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: European route E4 | Statement: [Essingeleden, partOf, European route E4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European route E4
Context triple: [Essingeleden, partOf, European route E4]
  • A. European route E4 chosen
    European route E4 is a major north–south European highway running through Sweden, connecting key cities from Helsingborg in the south to Tornio at the Finnish border.
  • B. European route E45
    European route E45 is a major north–south trans-European highway running from northern Scandinavia through central Europe to southern Italy.
  • C. European route E46
    European route E46 is an international E-road corridor in Western Europe that connects cities in France, Belgium, and Germany as part of the trans-European road network.
  • D. European route E41
    European route E41 is a major north–south European highway running through Germany and Switzerland, linking cities such as Dortmund, Kassel, Würzburg, Nuremberg, and Zurich.
  • E. European route E44
    European route E44 is a major west–east European highway connecting Le Havre in France to Giessen in Germany, facilitating international road transport across several regions.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.