Triple

T10619339
Position Surface form Disambiguated ID Type / Status
Subject Malmedy E295666 entity
Predicate hasTwinTown P919 FINISHED
Object Cernay E509949 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: Cernay | Statement: [Malmedy, hasTwinTown, Cernay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cernay
Context triple: [Malmedy, hasTwinTown, Cernay]
  • A. Cernay chosen
    Cernay is a commune in the Haut-Rhin department of northeastern France, known for its location in the Alsace region and its historical and cultural heritage.
  • B. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • C. Tournan
    Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
  • D. Vic-sur-Seille
    Vic-sur-Seille is a small historic commune in northeastern France best known as the birthplace of the Baroque painter Georges de La Tour.
  • E. Serigny
    Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e2d65fc0948190af4356fc9f5004bb completed April 18, 2026, 12:54 a.m.
Created at: April 8, 2026, 8:21 p.m.