Triple

T8348978
Position Surface form Disambiguated ID Type / Status
Subject E-road network E196110 entity
Predicate hasPart P35 FINISHED
Object European route E50 E240302 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 E50 | Statement: [E-road network, hasPart, European route E50]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European route E50
Context triple: [E-road network, hasPart, European route E50]
  • A. European route E50 chosen
    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.
  • B. 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.
  • C. European route E05
    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.
  • D. European route E35
    European route E35 is a major north–south trans-European highway running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
  • E. European route E95
    European route E95 is a major north–south European highway running from Saint Petersburg in Russia through Belarus and Ukraine to the Black Sea coast in Turkey.
  • 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_69ce888975b081908af58968e43cdac9 completed April 2, 2026, 3:17 p.m.
Created at: March 30, 2026, 5:58 p.m.