Triple

T20331419
Position Surface form Disambiguated ID Type / Status
Subject E20 motorway E492490 entity
Predicate hasJunctionWith P1018 FINISHED
Object E18 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: E18 | Statement: [E20 motorway, hasJunctionWith, E18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E18
Context triple: [E20 motorway, hasJunctionWith, E18]
  • A. E18 chosen
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • B. E18
    E18 is an airport departure gate located within Concourse E.
  • C. E81
    E81 is a major north–south European route that runs through parts of Romania and other Eastern European countries, connecting key cities and facilitating international road transport.
  • D. E16
    E16 is a major European route that runs across parts of Norway and Sweden, connecting key inland and coastal regions.
  • E. E14
    E14 is an airport departure gate located within Concourse E.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.