Triple

T16156443
Position Surface form Disambiguated ID Type / Status
Subject Dietikon E392055 entity
Predicate district P2709 FINISHED
Object Dietikon District E392055 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: Dietikon District | Statement: [Dietikon, district, Dietikon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dietikon District
Context triple: [Dietikon, district, Dietikon District]
  • A. Liestal District
    Liestal District is an administrative district in the canton of Basel-Landschaft in Switzerland, encompassing municipalities such as Pratteln and the town of Liestal.
  • B. Bremgarten District
    Bremgarten District is an administrative district in the Swiss canton of Aargau, known for its historic town of Bremgarten and its location along the Reuss River.
  • C. Olten district
    Olten district is an administrative district in the canton of Solothurn in northwestern Switzerland, centered around the town of Olten.
  • D. Zofingen District
    Zofingen District is an administrative district in the Swiss canton of Aargau, centered around the town of Zofingen and comprising several surrounding municipalities.
  • E. Dietikon chosen
    Dietikon is a town and municipality in the canton of Zurich in Switzerland, known as an important regional center in the Limmat Valley.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5aa57c8190a9d89dd57e30318f completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c46bd2081908d6d9fd1898ea5f7 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:01 a.m.