Triple

T21904143
Position Surface form Disambiguated ID Type / Status
Subject S24 line E540888 entity
Predicate connects P390 FINISHED
Object Zürich city centre 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: Zürich city centre | Statement: [S24 line, connects, Zürich city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zürich city centre
Context triple: [S24 line, connects, Zürich city centre]
  • A. Zürich city centre chosen
    Zürich city centre is the historic and commercial heart of Zurich, Switzerland, known for its medieval old town, major shopping streets, and key cultural and financial institutions.
  • B. 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.
  • C. Zürich Stadelhofen quarter
    Zürich Stadelhofen quarter is a central district of Zurich, Switzerland, known for its major transport hub, cultural venues, and proximity to Lake Zurich.
  • D. Zürich Oerlikon
    Zürich Oerlikon is a major district and transport hub in the north of Zurich, known for its busy railway station, business centers, and event venues.
  • E. Zürich West
    Zürich West is a former industrial district of Zurich that has transformed into a trendy urban area known for its contemporary architecture, nightlife, and cultural venues.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d4c0248190909172decd7cbc64 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:26 p.m.