Triple

T13065066
Position Surface form Disambiguated ID Type / Status
Subject Valognes E329299 entity
Predicate roadConnection P385 FINISHED
Object N13 road E226457 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: N13 road | Statement: [Valognes, roadConnection, N13 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N13 road
Context triple: [Valognes, roadConnection, N13 road]
  • A. N13 road chosen
    The N13 road is a major national highway in northwestern France that connects key towns in Normandy and serves as an important route between Caen and Cherbourg.
  • B. N137 road
    The N137 road is a national route in Ireland that connects local towns and links with other major roads within the country's regional road network.
  • C. N14 road
    The N14 road is a major national highway in northern France that connects Paris to Rouen and serves as an important route through the Vexin region.
  • D. N17 road
    The N17 road is a national primary route in western Ireland that connects several key towns between County Sligo and County Galway.
  • E. N15 road
    The N15 road is a major Dutch roadway in the port area of Rotterdam that connects key industrial zones and links to the national motorway network.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead460908190a566f5416e456aeb completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:59 p.m.