Triple

T13112515
Position Surface form Disambiguated ID Type / Status
Subject Hwaseong E311006 entity
Predicate transportation P230 FINISHED
Object National Route 43 E812539 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 43 | Statement: [Hwaseong, transportation, National Route 43]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Route 43
Context triple: [Hwaseong, transportation, National Route 43]
  • A. National Route 43 chosen
    National Route 43 is a major South Korean highway that passes through the city of Guri and connects it with other key regions.
  • B. National Route 47
    National Route 47 is a major South Korean highway that connects several cities in the Seoul Capital Area and surrounding regions.
  • C. National Route 48
    National Route 48 is a major Japanese highway that connects the city of Sendai in Miyagi Prefecture with Yamagata Prefecture across the Ōu Mountains.
  • D. National Route 44
    National Route 44 was a former Australian national highway route designation that once applied to the Bruxner Highway in New South Wales.
  • E. National Route 28
    National Route 28 is a major Japanese highway connecting Awaji Island with the mainland via the Akashi Kaikyo Bridge and serving as an important transportation corridor in 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265eba0481908417d2bb905874e5 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:05 p.m.