Triple

T13346005
Position Surface form Disambiguated ID Type / Status
Subject National Route 36 E317950 entity
Predicate hasJunctionWith P1018 FINISHED
Object National Route 37 E320158 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 37 | Statement: [National Route 36, hasJunctionWith, National Route 37]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 37
Context triple: [National Route 36, hasJunctionWith, National Route 37]
  • A. National Route 37 chosen
    National Route 37 is a major Japanese national highway in Hokkaido that connects the city of Muroran with other key regional destinations along the southwestern coast.
  • B. 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.
  • C. 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.
  • D. National Route 36
    National Route 36 is a major Argentine highway that connects the city of Río Cuarto with other key urban centers in the Córdoba province and beyond.
  • E. National Route 36
    National Route 36 is a major Japanese highway in Hokkaido that connects the cities of Sapporo and Muroran, serving as an important coastal transportation corridor.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7a13508190bbab6eb68fb52a18 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:31 p.m.