Triple

T21296281
Position Surface form Disambiguated ID Type / Status
Subject Saint-Louis, Haut-Rhin E524929 entity
Predicate twinnedWith P1072 FINISHED
Object Zillisheim NE NERFINISHED

How this triple was built (3 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: Zillisheim | Statement: [Saint-Louis, Haut-Rhin, twinnedWith, Zillisheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zillisheim
Context triple: [Saint-Louis, Haut-Rhin, twinnedWith, Zillisheim]
  • A. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • B. Besigheim
    Besigheim is a historic wine-growing town in southwestern Germany, known for its well-preserved medieval old town and scenic location between the Enz and Neckar rivers.
  • C. Kallnach
    Kallnach is a municipality in the canton of Bern in Switzerland, located in the Seeland region.
  • D. Bischheim
    Bischheim is a suburban commune in northeastern France, located near Strasbourg in the Bas-Rhin department of the Grand Est region.
  • E. Waldkirch
    Waldkirch is a small historic town in southwestern Germany’s Black Forest region, known for its scenic surroundings and traditional organ-building industry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zillisheim
Target entity description: Zillisheim is a commune in the Haut-Rhin department of northeastern France, situated in the historical region of Alsace.
  • A. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • B. Besigheim
    Besigheim is a historic wine-growing town in southwestern Germany, known for its well-preserved medieval old town and scenic location between the Enz and Neckar rivers.
  • C. Kallnach
    Kallnach is a municipality in the canton of Bern in Switzerland, located in the Seeland region.
  • D. Bischheim
    Bischheim is a suburban commune in northeastern France, located near Strasbourg in the Bas-Rhin department of the Grand Est region.
  • E. Waldkirch
    Waldkirch is a small historic town in southwestern Germany’s Black Forest region, known for its scenic surroundings and traditional organ-building industry.
  • F. None of above. chosen

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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385858ec8190bdc9c5cdcb8d4507 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.