Triple

T35115017
Position Surface form Disambiguated ID Type / Status
Subject European route E402 E1013408 entity
Predicate followsNationalRoad P183693 FINISHED
Object A16 motorway (France)
The A16 motorway in France is a major north–south highway linking the Paris region to the Channel coast and Belgium, forming part of the European route network.
E2125160 NE FINISHED

How this triple was built (3 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: A16 motorway (France) | Statement: [European route E402, followsNationalRoad, A16 motorway (France)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A16 motorway (France)
Triple: [European route E402, followsNationalRoad, A16 motorway (France)]
Generated description
The A16 motorway in France is a major north–south highway linking the Paris region to the Channel coast and Belgium, forming part of the European route network.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsNationalRoad
Context triple: [European route E402, followsNationalRoad, A16 motorway (France)]
  • A. hasNationalRoad
    Indicates that a location is connected to or served by a designated national road within a country's official road network.
  • B. usesNationalRoad chosen
    Indicates that one entity makes use of a national road as part of its route, operation, or activity.
  • C. raceRoute
    Indicates that one entity serves as the course or path along which a race or competitive event is conducted for another entity.
  • D. cyclingRoadRaceVenue
    Indicates that a location serves as the venue where a cycling road race event takes place.
  • E. isKeyNationalRouteFor
    Indicates that one route serves as a primary or strategically important national connection for another route or network.
  • F. None of above.

Provenance (6 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_69f76dd659d08190bcdc00d37caafb62 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fef112398081909237c3872345968b completed May 9, 2026, 8:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37d00358c8819081d585f1674925e6 completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0e880c08190918ab95736f976ea completed June 21, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a37d16b190481909bbb9c5580270466 completed June 21, 2026, 11:56 a.m.
PD Predicate disambiguation batch_69feefb14ec08190ab401987d8c84a23 completed May 9, 2026, 8:26 a.m.
Created at: May 3, 2026, 4:01 p.m.