Triple

T7614508
Position Surface form Disambiguated ID Type / Status
Subject Maurienne Valley E172326 entity
Predicate traversedBy P225 FINISHED
Object A43 motorway E364612 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: A43 motorway | Statement: [Maurienne Valley, traversedBy, A43 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A43 motorway
Context triple: [Maurienne Valley, traversedBy, A43 motorway]
  • A. A43 motorway chosen
    The A43 motorway is a major French highway connecting Lyon to the Fréjus Road Tunnel and the Italian border through the Alpine region.
  • B. A48 motorway
    The A48 motorway is a major French highway in southeastern France that links the city of Grenoble to the national motorway network, facilitating access toward Lyon and the wider region.
  • C. A44 motorway
    The A44 motorway is a major Dutch highway in the western Netherlands that connects the Amsterdam region with The Hague and the coastal area near Leiden.
  • D. A45 motorway
    The A45 motorway is a major German autobahn in western Germany that connects the Ruhr area with central regions such as Hesse and passes near towns including Dillenburg.
  • E. A46 motorway
    The A46 motorway is a major German autobahn in North Rhine-Westphalia that connects several cities in the Ruhr and Bergisches Land regions.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4392e881908ed1ab3f64b41600 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e343941ae481909489cf7a4abdba68 completed April 18, 2026, 8:40 a.m.
Created at: March 27, 2026, 3:55 p.m.