Triple

T16532875
Position Surface form Disambiguated ID Type / Status
Subject Wangen-Brüttisellen E401611 entity
Predicate district P2709 FINISHED
Object Uster E483927 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: Uster | Statement: [Wangen-Brüttisellen, district, Uster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uster
Context triple: [Wangen-Brüttisellen, district, Uster]
  • A. Uster chosen
    Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
  • B. 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.
  • C. Olten
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • D. Liestal
    Liestal is a historic Swiss town in northwestern Switzerland that serves as the administrative and cultural center of the canton of Basel-Landschaft.
  • E. Grenchen
    Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf6507081909f6a49c003f9d6d6 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:15 a.m.