Triple

T14948807
Position Surface form Disambiguated ID Type / Status
Subject Utoro E372735 entity
Predicate roadAccessVia P9041 FINISHED
Object National Route 334 E1130786 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 334 | Statement: [Utoro, roadAccessVia, National Route 334]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 334
Context triple: [Utoro, roadAccessVia, National Route 334]
  • A. National Route 334 chosen
    National Route 334 is a Japanese national highway in Hokkaido that connects coastal towns on the Shiretoko Peninsula and provides access through the mountainous Shiretoko region.
  • B. National Route 34
    National Route 34 is a major Japanese national highway in Kyushu that connects the city of Tosu in Saga Prefecture with other key urban centers in the region.
  • C. National Route 34
    National Route 34 was a former Australian national highway route designation that once applied to the Oxley Highway in New South Wales.
  • D. National Route 397
    National Route 397 is a Japanese national highway in the Tōhoku region that connects coastal and inland areas of Iwate and neighboring prefectures.
  • E. National Route 38
    National Route 38 is a major national highway in Hokkaido, Japan, connecting several key cities and serving as an important transportation corridor across the region.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68fae3c81909873b113bfcaca05 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968d71dc81909b76551f9cd9ebab completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:39 a.m.