Triple

T14157361
Position Surface form Disambiguated ID Type / Status
Subject Stäfa E350846 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Oetwil am See E1092670 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: Oetwil am See | Statement: [Stäfa, neighboringMunicipality, Oetwil am See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oetwil am See
Context triple: [Stäfa, neighboringMunicipality, Oetwil am See]
  • A. Oetwil am See chosen
    Oetwil am See is a municipality in the canton of Zurich, Switzerland, known for its scenic location near Lake Zurich and its residential, semi-rural character.
  • B. Sursee
    Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
  • C. Beinwil am See
    Beinwil am See is a Swiss lakeside municipality in the canton of Aargau, known for its scenic location on Lake Hallwil and its recreational and tourism activities.
  • D. Uttwil
    Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • E. Walchwil
    Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c27b7088190bd7714391d0536b1 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 12:58 a.m.