Triple

T6984121
Position Surface form Disambiguated ID Type / Status
Subject Kurashiki E161918 entity
Predicate transport P230 FINISHED
Object National Route 2 E555060 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 2 | Statement: [Kurashiki, transport, National Route 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 2
Context triple: [Kurashiki, transport, National Route 2]
  • A. National Route 2 chosen
    National Route 2 is a major Japanese highway that runs along the southern coast of Honshu, linking Osaka with Fukuoka and serving numerous cities in western Japan.
  • B. National Route 3
    National Route 3 is a major Argentine highway that runs along the Atlantic coast of Patagonia, connecting Buenos Aires with key southern cities including Comodoro Rivadavia.
  • C. National Route 3
    National Route 3 is a major South Korean highway that runs north–south, connecting multiple regions and cities across the country.
  • D. National Route 17
    National Route 17 is a major South Korean highway that runs north–south across the country, connecting multiple cities and regions including Eumseong County.
  • E. National Route 1
    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.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761c671588190a4e7b5c26cdfe6ba completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:31 p.m.