Triple

T21024719
Position Surface form Disambiguated ID Type / Status
Subject National road 259 E517909 entity
Predicate intersects P1018 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: [National road 259, intersects, National road 73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National road 73
Context triple: [National road 259, intersects, 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc6059908190bf5c9ef9c30f1a32 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.