Triple

T5409578
Position Surface form Disambiguated ID Type / Status
Subject Handen E120978 entity
Predicate hasRoadConnection P385 FINISHED
Object National road 73 E120981 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 road 73 | Statement: [Handen, hasRoadConnection, National road 73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National road 73
Context triple: [Handen, hasRoadConnection, National road 73]
  • A. National road 73 chosen
    National road 73 is a major Swedish highway connecting Stockholm with the coastal city of Nynäshamn in Stockholm County.
  • B. National road 91
    National road 91 is a major Polish roadway that runs along the Baltic coast and through key northern cities, including Sopot, serving as an important regional transport route.
  • C. National road 8
    National road 8 is a Swiss national highway that traverses the Brünig Pass, connecting central Switzerland with the Bernese Oberland.
  • D. National Route 137
    National Route 137 is a Japanese national highway that connects the Fuji Five Lakes area in Yamanashi Prefecture with surrounding regions, serving as a key access route to the city of Fujiyoshida.
  • E. National Route 71
    National Route 71 was a former Australian national highway route designation that once applied to the Mitchell Highway in New South Wales and Queensland.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8796a420819092c1771407cd1a5d completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339e02dc8190bb2ca6e0a0ef4621 completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.