Triple

T6957734
Position Surface form Disambiguated ID Type / Status
Subject High Rhine E161287 entity
Predicate hasPart P35 FINISHED
Object Laufenburg E540418 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: Laufenburg | Statement: [High Rhine, hasPart, Laufenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laufenburg
Context triple: [High Rhine, hasPart, Laufenburg]
  • A. Laufenburg chosen
    Laufenburg is a historic town on the Rhine River, straddling the border between Switzerland and Germany and known for its medieval architecture and river scenery.
  • B. Lauffeld
    Lauffeld is a village in present-day Belgium best known as the site of the 1747 Battle of Lauffeld during the War of the Austrian Succession.
  • C. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • D. Hammelburg
    Hammelburg is a historic town in northern Bavaria, Germany, known as one of the country’s oldest wine-growing communities.
  • E. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad0e52081908b524dc6a66bab01 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7588e2c5c8190a66a0205f3c2bf99 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.