Triple

T22669306
Position Surface form Disambiguated ID Type / Status
Subject Basler Verkehrs-Betriebe E559877 entity
Predicate hasServiceArea P82 FINISHED
Object Basel-Stadt 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: Basel-Stadt | Statement: [Basler Verkehrs-Betriebe, hasServiceArea, Basel-Stadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basel-Stadt
Context triple: [Basler Verkehrs-Betriebe, hasServiceArea, Basel-Stadt]
  • A. Basel-Stadt chosen
    Basel-Stadt is a small, urban Swiss canton centered on the city of Basel, a major cultural and economic hub in northwestern Switzerland.
  • B. Baden bei Zürich
    Baden bei Zürich is a historic Swiss spa town near Zurich, renowned for its thermal springs and well-preserved old town.
  • C. Schaffhausen
    Schaffhausen is a historic town and capital of the canton of the same name in northern Switzerland, known for its well-preserved medieval old town and proximity to the Rhine Falls.
  • D. Basel city center
    Basel city center is the historic and commercial heart of Basel, known for its medieval streets, major squares, shops, and cultural attractions along the Rhine.
  • E. Türnich
    Türnich is a district of the town of Kerpen in North Rhine-Westphalia, Germany, known as a residential area within the Cologne metropolitan region.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ed50c8190a6943f51d7337b49 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.