Triple

T14920971
Position Surface form Disambiguated ID Type / Status
Subject A5 E371506 entity
Predicate hasJunctionWith P1018 FINISHED
Object A26 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: A26 motorway | Statement: [A5, hasJunctionWith, A26 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A26 motorway
Context triple: [A5, hasJunctionWith, A26 motorway]
  • A. A26 motorway chosen
    The A26 motorway is a major French autoroute in northern France that connects Calais and the Channel Tunnel area with the interior of the country, serving as an important route for international traffic.
  • B. A28 motorway
    The A28 motorway is a major Dutch highway that runs through the central and northern Netherlands, connecting cities such as Utrecht, Amersfoort, Zwolle, and Groningen.
  • C. A28 motorway
    The A28 motorway is a major German autobahn in northwestern Germany that connects the city of Oldenburg with other regional and national transport routes.
  • D. A28 motorway
    The A28 motorway is a major French highway running through western France, linking several key cities and regions as part of the national autoroute network.
  • 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.

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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded63121e48190b54eb2546acc3c93 completed April 15, 2026, 12:05 a.m.
Created at: April 10, 2026, 2:33 a.m.