Triple

T21070866
Position Surface form Disambiguated ID Type / Status
Subject Handen district E519102 entity
Predicate hasRoadConnection P385 FINISHED
Object National road 73 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 road 73 | Statement: [Handen district, hasRoadConnection, National road 73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National road 73
Context triple: [Handen district, 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 70
    National road 70 is a Polish national roadway that connects the city of Skierniewice with other regional routes in central Poland.
  • C. National road 72
    National road 72 is a Polish national roadway that connects the city of Skierniewice with other regional centers in central Poland.
  • D. National road 92
    National road 92 is a major Polish roadway that serves as an important east–west transport route parallel to the A2 motorway, connecting numerous towns and cities across central Poland.
  • E. 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.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb8ed4481909c9f804ccd8da3e2 completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:46 p.m.