Triple

T5409673
Position Surface form Disambiguated ID Type / Status
Subject National road 73 E120981 entity
Predicate hasJunctionWith P1018 FINISHED
Object National road 222 E180137 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 222 | Statement: [National road 73, hasJunctionWith, National road 222]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National road 222
Context triple: [National road 73, hasJunctionWith, National road 222]
  • A. National Route 254
    National Route 254 is a major Japanese national highway connecting parts of the Tokyo metropolitan area with central Honshu regions.
  • B. Highway 222 chosen
    Highway 222 is a major road in Sweden that connects Stockholm with the islands of Värmdö Municipality in the Stockholm archipelago.
  • C. National road 73
    National road 73 is a major Swedish highway connecting Stockholm with the coastal city of Nynäshamn in Stockholm County.
  • D. National Route 236
    National Route 236 is a major national highway in Hokkaido, Japan, connecting the city of Obihiro with other regional communities across the island.
  • E. National Route 26
    National Route 26 is a major Japanese highway that runs through Osaka Prefecture and connects key cities in the Kansai 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_69bd463a41cc8190b32ff5af2b96ca93 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.