Triple

T11173724
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A8 E264350 entity
Predicate partOf P40 FINISHED
Object European route E74 E767662 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 E74 | Statement: [Autoroute A8, partOf, European route E74]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European route E74
Context triple: [Autoroute A8, partOf, European route E74]
  • A. European route E74 chosen
    European route E74 is an international road in the E-road network that connects parts of France and Italy, linking the French Riviera to northern Italy through key Alpine crossings.
  • B. European route E70
    European route E70 is a major west–east trans-European highway running from Spain through France, Italy, the Balkans and Turkey to Georgia along the Black Sea.
  • C. European route E75
    European route E75 is a major north–south European highway running from northern Norway through several Central and Eastern European countries to Greece.
  • D. 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.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acf79b748190b117355f60c8c015 completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.