Triple

T13801309
Position Surface form Disambiguated ID Type / Status
Subject EV Zug E331645 entity
Predicate governingBody P46 FINISHED
Object EV Zug AG E331645 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: EV Zug AG | Statement: [EV Zug, governingBody, EV Zug AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EV Zug AG
Context triple: [EV Zug, governingBody, EV Zug AG]
  • A. EV Zug chosen
    EV Zug is a professional ice hockey club from Zug, Switzerland, known as one of the prominent teams in the country’s top-tier league.
  • B. Stadler Rail
    Stadler Rail is a Swiss manufacturer of railway rolling stock known for producing regional and commuter trains, trams, and light rail vehicles for markets worldwide.
  • C. D-Zug
    D-Zug was a former class of fast long-distance passenger trains in German-speaking countries, known for providing relatively quick intercity connections before being largely superseded by newer service categories.
  • D. Swiss Federal Railways
    Swiss Federal Railways is Switzerland’s national railway company, responsible for operating the majority of the country’s passenger and freight rail services and managing much of its rail infrastructure.
  • E. Verkehrsbetriebe Zürich
    Verkehrsbetriebe Zürich is the municipal public transport operator in Zurich, Switzerland, running the city’s tram, bus, and other urban transit services.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0893a20819081d4001b8dbc9c36 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.