Triple

T22295099
Position Surface form Disambiguated ID Type / Status
Subject European route E31 E551095 entity
Predicate hasJunctionWith P1018 FINISHED
Object European route E42 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: European route E42 | Statement: [European route E31, hasJunctionWith, European route E42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European route E42
Context triple: [European route E31, hasJunctionWith, European route E42]
  • A. European route E42 chosen
    European route E42 is a major west–east European highway running from France through Belgium and Germany, forming part of the international E-road network.
  • 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 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 E48
    European route E48 is an international E-road in Central Europe that connects major cities in Germany and the Czech Republic as part of the trans-European road network.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1571fe76c8190a40b3679802a5475 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.