Triple

T17470764
Position Surface form Disambiguated ID Type / Status
Subject Wädenswil E425405 entity
Predicate mergedWith P77 FINISHED
Object Hütten (ZH) NE NERFINISHED

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: Hütten (ZH) | Statement: [Wädenswil, mergedWith, Hütten (ZH)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hütten (ZH)
Context triple: [Wädenswil, mergedWith, Hütten (ZH)]
  • A. Hausen (Aargau)
    Hausen (Aargau) is a municipality in the Swiss canton of Aargau, located in the Brugg district in northern Switzerland.
  • B. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • C. Hütten chosen
    Hütten is a small village and former municipality in the canton of Zurich, Switzerland, situated in a rural, hilly area near Lake Zurich.
  • D. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • E. Lutzingen
    Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451abab908190b6d9d8a64f7c2ea3 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.