Triple

T8348976
Position Surface form Disambiguated ID Type / Status
Subject E-road network E196110 entity
Predicate hasPart P35 FINISHED
Object European route E40 E360786 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 E40 | Statement: [E-road network, hasPart, European route E40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European route E40
Context triple: [E-road network, hasPart, European route E40]
  • A. European route E40 chosen
    European route E40 is one of the longest trans-European highways, stretching from Calais in France to Ridder in Kazakhstan and connecting numerous major cities across the continent.
  • 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 E14
    European route E14 is a trans-European road connecting Trondheim in Norway to Sundsvall in Sweden, forming part of the international E-road network across Scandinavia.
  • D. European route E4
    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.
  • E. 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.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8016c4188190a5ff93078e74dc39 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d941ca081909cc03949304c5052 completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:58 p.m.