Triple

T15855513
Position Surface form Disambiguated ID Type / Status
Subject Ōtsu E384443 entity
Predicate hasHighway P385 FINISHED
Object National Route 1 E141720 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: National Route 1 | Statement: [Ōtsu, hasHighway, National Route 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 1
Context triple: [Ōtsu, hasHighway, National Route 1]
  • A. National Route 1 chosen
    National Route 1 is a major Japanese highway that links Tokyo with Osaka, passing through key urban and industrial areas along the Pacific coast of Honshu.
  • B. National Route 1
    National Route 1 is a major South Korean highway that runs north–south through key cities, including Seoul, serving as one of the country's primary arterial roads.
  • C. National Route 1
    National Route 1 is Australia’s principal circumferential highway system that links all mainland state capitals and many regional centers around the continent.
  • D. National Route 10
    National Route 10 is a major Vietnamese highway that runs through the Red River Delta, linking key northern coastal provinces and cities, including Nam Dinh.
  • E. National Route 1A
    National Route 1A is Vietnam’s primary north–south highway, running the length of the country and connecting major cities, provinces, and economic 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caf6ae481909ae1385cb4548612 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14977408190815ef02cc54075cc completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.