Triple

T20919870
Position Surface form Disambiguated ID Type / Status
Subject Ogori E515176 entity
Predicate roadAccess P385 FINISHED
Object National Route 3 — NE NERFINISHED

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 3 | Statement: [Ogori, roadAccess, National Route 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 3
Context triple: [Ogori, roadAccess, National Route 3]
  • A. 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.
  • B. National Route 3
    National Route 3 is a major South Korean highway that runs north–south, connecting multiple regions and cities across the country.
  • C. National Route 3
    National Route 3 is a major highway in northern Vietnam that connects Hanoi with several northeastern provinces, facilitating regional transport and trade.
  • D. National Route 3 chosen
    National Route 3 is a major Japanese highway that runs along the island of Kyushu, connecting several key cities and serving as an important regional transportation corridor.
  • E. National Route 37
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec677338819081410cbaa2846260 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.