Triple

T13343476
Position Surface form Disambiguated ID Type / Status
Subject Administrative District of Biel/Bienne E317885 entity
Predicate namedAfter P63 FINISHED
Object Biel/Bienne 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: Biel/Bienne | Statement: [Administrative District of Biel/Bienne, namedAfter, Biel/Bienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biel/Bienne
Context triple: [Administrative District of Biel/Bienne, namedAfter, Biel/Bienne]
  • A. 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.
  • B. Stettlen
    Stettlen is a municipality in the canton of Bern in Switzerland, situated just east of the city of Bern and functioning largely as a residential and commuter community.
  • C. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • D. Bülach
    Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
  • E. Türnich
    Türnich is a district of the town of Kerpen in North Rhine-Westphalia, Germany, known as a residential area within the Cologne metropolitan region.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc311b1248190b9ceb2854e93171a completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 9:31 p.m.