Triple

T15480320
Position Surface form Disambiguated ID Type / Status
Subject A4 motorway E376897 entity
Predicate hasJunctionWith P1018 FINISHED
Object A7 motorway — 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: A7 motorway | Statement: [A4 motorway, hasJunctionWith, A7 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A7 motorway
Context triple: [A4 motorway, hasJunctionWith, A7 motorway]
  • A. A7 motorway
    The A7 motorway is one of Germany's major north–south autobahns, running the length of the country and passing near cities such as Göttingen.
  • B. A7 motorway
    The A7 motorway is a major French highway that runs through the Rhône Valley, linking Lyon to Marseille and serving as a key north–south route in southeastern France.
  • C. A7 motorway
    The A7 motorway is a major north–south highway in Luxembourg that connects the capital region with northern parts of the country and links several key towns along its route.
  • D. A7 motorway
    The A7 motorway is a major Dutch highway that runs across the northern Netherlands, connecting cities such as Groningen and linking to the German border.
  • E. A27 motorway
    The A27 motorway is a major north–south highway in the Netherlands that connects several key cities and regions in the central part of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
Created at: April 10, 2026, 3:34 a.m.