Triple

T15263885
Position Surface form Disambiguated ID Type / Status
Subject Ethereum Foundation E364850 entity
Predicate headquartersLocation P62 FINISHED
Object Zug, Switzerland E187177 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: Zug, Switzerland | Statement: [Ethereum Foundation, headquartersLocation, Zug, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zug, Switzerland
Context triple: [Ethereum Foundation, headquartersLocation, Zug, Switzerland]
  • A. Zug chosen
    Zug is a small, affluent Swiss city and canton known for its low taxes, picturesque lakeside setting, and role as a hub for international businesses and cryptocurrency companies.
  • B. Lucerne, Switzerland
    Lucerne, Switzerland is a picturesque city in central Switzerland known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and surrounding mountain scenery.
  • C. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • D. Baden, Switzerland
    Baden, Switzerland is a historic spa town in the canton of Aargau known for its thermal baths and picturesque setting along the Limmat River.
  • E. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6fc290819096ef03f8ecae8876 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.