Triple

T23367362
Position Surface form Disambiguated ID Type / Status
Subject Escher-Wyss-Platz tram stop E593360 entity
Predicate operator P179 FINISHED
Object VBZ 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: VBZ | Statement: [Escher-Wyss-Platz tram stop, operator, VBZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VBZ
Context triple: [Escher-Wyss-Platz tram stop, operator, VBZ]
  • A. VBZ chosen
    VBZ is the municipal public transport operator in Zurich, Switzerland, running the city’s trams, buses, and other local transit services.
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • D. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • E. BZ
    BZ is the provincial code for the autonomous Italian province of Bolzano–South Tyrol in northern Italy.
  • 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.