Triple

T11517791
Position Surface form Disambiguated ID Type / Status
Subject Owase E273075 entity
Predicate connectedBy P37 FINISHED
Object National Route 42 E769228 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 42 | Statement: [Owase, connectedBy, National Route 42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 42
Context triple: [Owase, connectedBy, National Route 42]
  • A. National Route 42 chosen
    National Route 42 is a major Japanese highway running along the Kii Peninsula, connecting several coastal cities and serving as an important regional transportation corridor.
  • B. National Route 47
    National Route 47 is a major South Korean highway that connects several cities in the Seoul Capital Area and surrounding regions.
  • C. National Route 48
    National Route 48 is a major Japanese highway that connects the city of Sendai in Miyagi Prefecture with Yamagata Prefecture across the Ōu Mountains.
  • D. National Route 4
    National Route 4 is a major Japanese highway running through the Tōhoku region, connecting Tokyo with Aomori and serving numerous cities and towns along its north–south route.
  • E. National Route 4
    National Route 4 is a major Vietnamese highway forming part of the country’s national road network, running through multiple northern provinces near the border with China.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.