Triple

T16156468
Position Surface form Disambiguated ID Type / Status
Subject Dietikon E392055 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Oetwil an der Limmat E1107853 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 an der Limmat | Statement: [Dietikon, hasNeighboringMunicipality, Oetwil an der Limmat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oetwil an der Limmat
Context triple: [Dietikon, hasNeighboringMunicipality, Oetwil an der Limmat]
  • A. Oetwil an der Limmat chosen
    Oetwil an der Limmat is a municipality in the canton of Zurich in Switzerland, situated along the Limmat River in the Limmat Valley region.
  • B. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • C. 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.
  • D. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • 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_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_6a002d99e8ec8190945812327283ba6c completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:01 a.m.