Triple

T23367358
Position Surface form Disambiguated ID Type / Status
Subject Escher-Wyss-Platz tram stop E593360 entity
Predicate locatedInQuarter P40 FINISHED
Object Zürich-West 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-West | Statement: [Escher-Wyss-Platz tram stop, locatedInQuarter, Zürich-West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zürich-West
Context triple: [Escher-Wyss-Platz tram stop, locatedInQuarter, Zürich-West]
  • A. Zürich West chosen
    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.
  • B. 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.
  • 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. Dübendorf
    Dübendorf is a municipality in the canton of Zurich, Switzerland, known for its proximity to Zurich and its historic military and aviation facilities.
  • E. Rüschlikon
    Rüschlikon is a wealthy lakeside municipality on the western shore of Lake Zurich in the canton of Zurich, Switzerland.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ad621881908a909f236e6e9c90 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.