Triple

T13710206
Position Surface form Disambiguated ID Type / Status
Subject M6 Toll E328749 entity
Predicate isPartOf P10 FINISHED
Object European route E05 E570223 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 E05 | Statement: [M6 Toll, isPartOf, European route E05]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European route E05
Context triple: [M6 Toll, isPartOf, European route E05]
  • A. European route E05 chosen
    European route E05 is a major north–south trans-European road running from Greenock in Scotland through England and France to Algeciras in southern Spain.
  • B. European route E50
    European route E50 is a major trans-European east–west road corridor that stretches from France across central Europe to Russia, linking numerous key cities and motorways along its route.
  • C. European route E55
    European route E55 is a major north–south European highway running from Sweden through several Central and Southern European countries to Greece, forming part of the international E-road network.
  • D. European route E52
    European route E52 is an international road in the E-road network that connects Strasbourg in France with Salzburg in Austria via southern Germany.
  • E. European route E54
    European route E54 is an international road in the E-road network that connects cities in France and Germany, facilitating cross-border transport and trade.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7cfcf748190944ffea7582d4f66 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:54 p.m.