Triple

T20456381
Position Surface form Disambiguated ID Type / Status
Subject RER Vaud E501798 entity
Predicate connects P390 FINISHED
Object Payerne 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: Payerne | Statement: [RER Vaud, connects, Payerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payerne
Context triple: [RER Vaud, connects, 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. Borgentreich
    Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
  • C. Malchin
    Malchin is a small town in the Mecklenburgische Seenplatte district of Mecklenburg-Vorpommern in northern Germany.
  • D. Crozant
    Crozant is a picturesque rural commune in central France known for its dramatic river gorges, medieval castle ruins, and its role as an inspiration for many landscape painters.
  • E. Palten
    Palten is a river in Austria that serves as a significant tributary of the Enns River in the Styrian region.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.