Triple

T2647947
Position Surface form Disambiguated ID Type / Status
Subject Ushuaia E53826 entity
Predicate roadConnection P385 FINISHED
Object National Route 3 E132493 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 3 | Statement: [Ushuaia, roadConnection, National Route 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 3
Context triple: [Ushuaia, roadConnection, National Route 3]
  • A. National Route 3 chosen
    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 32
    National Route 32 is a major Vietnamese highway that connects Hanoi with several northwestern provinces, serving as an important regional transport corridor.
  • 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 1A
    National Route 1A is Vietnam’s primary north–south highway, running the length of the country and connecting major cities, provinces, and economic regions.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa052c91c8190abfd49dbc62a4448 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.