Triple

T18239763
Position Surface form Disambiguated ID Type / Status
Subject Hirzel Pass E436776 entity
Predicate between P1262 FINISHED
Object city of Zug 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: city of Zug | Statement: [Hirzel Pass, between, city of Zug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Zug
Context triple: [Hirzel Pass, between, city of Zug]
  • A. City of Zug chosen
    The City of Zug is a historic Swiss city and canton capital in central Switzerland, known today as a low-tax financial hub and picturesque lakeside community.
  • B. Stadt Winterthur
    Stadt Winterthur is the municipal government of the Swiss city of Winterthur, responsible for local administration, public services, and cultural institutions.
  • C. canton of Zug
    The canton of Zug is a small, affluent Swiss canton in central Switzerland known for its low taxes, picturesque lakeside setting, and thriving business environment.
  • D. City of Unterwalden
    The City of Unterwalden was a medieval Swiss canton-level community that formed part of the Old Swiss Confederacy and participated in regional conflicts such as the Burgundian Wars.
  • E. Kloten
    Kloten is a town in the canton of Zurich in northern Switzerland, best known as the home of Zurich Airport.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e19d9881908d6a227528241e4a completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.