Triple

T5376944
Position Surface form Disambiguated ID Type / Status
Subject Trelew E112982 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: [Trelew, roadConnection, National Route 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 3
Context triple: [Trelew, 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 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.
  • D. 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.
  • E. 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.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86b08bf881909fa2e42c977d807a completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29428cec8190a20bea8fcae59d8f completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.