Triple

T14415549
Position Surface form Disambiguated ID Type / Status
Subject Pully E357440 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Savigny E902746 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: Savigny | Statement: [Pully, hasNeighboringMunicipality, Savigny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savigny
Context triple: [Pully, hasNeighboringMunicipality, Savigny]
  • A. Savigny chosen
    Savigny is a municipality in the canton of Vaud in western Switzerland, located in the district of Lavaux-Oron above Lake Geneva.
  • B. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • C. Lubersac
    Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
  • D. Lothier
    Lothier was a medieval duchy in the Low Countries, historically associated with the Duchy of Brabant and forming part of the Holy Roman Empire.
  • E. Dourbie
    The Dourbie is a river in southern France known for carving the scenic Gorges de la Dourbie through the limestone plateaus of the Massif Central.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552a75ec8190b966d509d315ca60 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.