Triple

T23205760
Position Surface form Disambiguated ID Type / Status
Subject Tysvær E580448 entity
Predicate hasRoadConnection P385 FINISHED
Object European route E134 E95620 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: European route E134 | Statement: [Tysvær, hasRoadConnection, European route E134]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European route E134
Context triple: [Tysvær, hasRoadConnection, European route E134]
  • A. European route E134 chosen
    European route E134 is a major east–west highway in Norway that connects the Oslo region with the west coast across mountainous terrain.
  • B. European route E136
    European route E136 is a Norwegian trans-European road corridor that links inland regions to the coastal city of Ålesund, serving as a key route through the Romsdal valley.
  • C. European route E14
    European route E14 is a trans-European road connecting Trondheim in Norway to Sundsvall in Sweden, forming part of the international E-road network across Scandinavia.
  • D. European route E34
    European route E34 is a major west–east European highway connecting the North Sea port city of Zeebrugge in Belgium to Bad Oeynhausen in Germany via the Netherlands.
  • E. European route E119
    European route E119 is a major north–south international road in the E-road network that runs from Moscow, Russia, through Azerbaijan to the Iranian border.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907cd62c8190afee1e963b170727 completed April 29, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30c2ac508190ab718e22afde7a73 completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:07 p.m.