Triple

T13826920
Position Surface form Disambiguated ID Type / Status
Subject A14 motorway E332273 entity
Predicate hasJunctionWith P1018 FINISHED
Object A16 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: A16 motorway | Statement: [A14 motorway, hasJunctionWith, A16 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A16 motorway
Context triple: [A14 motorway, hasJunctionWith, A16 motorway]
  • A. A16 motorway chosen
    The A16 motorway is a major French highway in northern France that connects the Paris region to the Channel coast and Belgium.
  • B. A16 motorway
    The A16 motorway is a major Dutch highway that forms part of the north–south route connecting Rotterdam with Belgium and other parts of the Netherlands.
  • C. A15 motorway
    The A15 motorway is a major Dutch highway in the western Netherlands that connects the port of Rotterdam with the eastern part of the country and important national transport corridors.
  • D. A15 motorway
    The A15 motorway is a French autoroute serving as a key radial route northwest of Paris, linking the capital’s suburbs with the broader national road network.
  • E. A15 motorway
    The A15 motorway is a Portuguese highway that connects the city of Santarém to the coastal region around Caldas da Rainha, forming part of the road network in central Portugal.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:13 p.m.