Triple

T3451701
Position Surface form Disambiguated ID Type / Status
Subject Edouard Heuer E72806 entity
Predicate businessLocation P1527 FINISHED
Object Bienne, Switzerland E24186 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: Bienne, Switzerland | Statement: [Edouard Heuer, businessLocation, Bienne, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bienne, Switzerland
Context triple: [Edouard Heuer, businessLocation, Bienne, Switzerland]
  • A. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • B. Biel/Bienne chosen
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • C. 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.
  • D. La Sarraz, Switzerland
    La Sarraz, Switzerland is a small historic town in the canton of Vaud known for its medieval castle and its role in early 20th-century modern architecture movements.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56275e1708190aa4b02acebb978c6 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:16 p.m.