Triple

T6197134
Position Surface form Disambiguated ID Type / Status
Subject Vallentuna E138535 entity
Predicate roadConnection P385 FINISHED
Object National road 264
National road 264 is a Swedish roadway that serves as a regional connector route in the area around Vallentuna.
 E574902 NE FINISHED

How this triple was built (4 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: National road 264 | Statement: [Vallentuna, roadConnection, National road 264]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National road 264
Context triple: [Vallentuna, roadConnection, National road 264]
  • A. National road 267
    National road 267 is a Swedish roadway that serves as an important regional connector in the area around Stäket.
  • B. National Route 26
    National Route 26 is a major Japanese highway that runs through Osaka Prefecture and connects key cities in the Kansai region.
  • C. National Route 236
    National Route 236 is a major national highway in Hokkaido, Japan, connecting the city of Obihiro with other regional communities across the island.
  • D. National Route 469
    National Route 469 is a Japanese national highway in Shizuoka Prefecture that serves as a regional connector route in the area around Fujinomiya.
  • E. National road 259
    National road 259 is a Polish national roadway that intersects with National road 73 and serves regional traffic connectivity in its area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: National road 264
Triple: [Vallentuna, roadConnection, National road 264]
Generated description
National road 264 is a Swedish roadway that serves as a regional connector route in the area around Vallentuna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: National road 264
Target entity description: National road 264 is a Swedish roadway that serves as a regional connector route in the area around Vallentuna.
  • A. National road 267
    National road 267 is a Swedish roadway that serves as an important regional connector in the area around Stäket.
  • B. National Route 26
    National Route 26 is a major Japanese highway that runs through Osaka Prefecture and connects key cities in the Kansai region.
  • C. National Route 236
    National Route 236 is a major national highway in Hokkaido, Japan, connecting the city of Obihiro with other regional communities across the island.
  • D. National Route 469
    National Route 469 is a Japanese national highway in Shizuoka Prefecture that serves as a regional connector route in the area around Fujinomiya.
  • E. National road 259
    National road 259 is a Polish national roadway that intersects with National road 73 and serves regional traffic connectivity in its area.
  • F. None of above. chosen

Provenance (5 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062508f5c8190a00291708a9a7de9 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f2a40a88190847f607a6e2c5f4e completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1d232ab1881909cc3014beb664446 completed March 23, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69c1d2c532988190a98f615638987159 completed March 23, 2026, 11:54 p.m.
Created at: March 22, 2026, 4:20 p.m.