Triple

T4498722
Position Surface form Disambiguated ID Type / Status
Subject Werl E100762 entity
Predicate hasTransportConnection P845 FINISHED
Object A44 motorway E287225 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: A44 motorway | Statement: [Werl, hasTransportConnection, A44 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A44 motorway
Context triple: [Werl, hasTransportConnection, A44 motorway]
  • A. A44 motorway chosen
    The A44 motorway is a major Dutch highway in the western Netherlands that connects the Amsterdam region with The Hague and the coastal area near Leiden.
  • B. A48 motorway
    The A48 motorway is a major French highway in southeastern France that links the city of Grenoble to the national motorway network, facilitating access toward Lyon and the wider region.
  • C. A40 motorway
    The A40 motorway, nicknamed the "Autoroute Blanche," is a major French alpine highway linking Mâcon to the Mont Blanc region and providing a key route toward Switzerland and Italy.
  • D. A43 motorway
    The A43 motorway is a major French highway connecting Lyon to the Fréjus Road Tunnel and the Italian border through the Alpine region.
  • E. A46 motorway
    The A46 motorway is a major German autobahn in North Rhine-Westphalia that connects several cities in the Ruhr and Bergisches Land regions.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c29868819097633c7cd398e865 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cb9f421081908b9df22decae8923 completed March 28, 2026, 12:37 p.m.
Created at: March 20, 2026, 1 p.m.