Triple

T10607703
Position Surface form Disambiguated ID Type / Status
Subject Laupheim, Kingdom of Württemberg E275918 entity
Predicate hasName P744 FINISHED
Object Laupheim E775579 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: Laupheim | Statement: [Laupheim, Kingdom of Württemberg, hasName, Laupheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laupheim
Context triple: [Laupheim, Kingdom of Württemberg, hasName, Laupheim]
  • A. Laupheim chosen
    Laupheim is a town in the district of Biberach in the German state of Baden-Württemberg, known historically for its Jewish community and as an industrial and cultural center in Upper Swabia.
  • B. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • C. Schwanau
    Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
  • D. Sporkenheim
    Sporkenheim is a district or locality within the town of Ingelheim am Rhein in Rhineland-Palatinate, Germany.
  • E. Heidenheim an der Brenz
    Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4c38c881908f69bb757b8e03f5 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69e23b1c5e4c81909628c77b80805353 completed April 17, 2026, 1:52 p.m.
Created at: April 8, 2026, 7:32 p.m.