Triple

T8849049
Position Surface form Disambiguated ID Type / Status
Subject Canton of Vaud E210585 entity
Predicate containsCity P294 FINISHED
Object Payerne E275151 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: Payerne | Statement: [Canton of Vaud, containsCity, Payerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payerne
Context triple: [Canton of Vaud, containsCity, Payerne]
  • A. Payerne chosen
    Payerne is a historic town and municipality in the canton of Vaud, Switzerland, known for its medieval abbey and regional agricultural significance.
  • B. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • C. Fricktal
    Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
  • D. Oxenberg
    Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
  • E. Borrisokane
    Borrisokane is a small rural town in northern County Tipperary, Ireland, known for its agricultural surroundings and traditional Irish community character.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89c6788881908d6f5c49434b556d completed April 3, 2026, 9:35 a.m.
Created at: March 30, 2026, 6:49 p.m.