Triple

T3002726
Position Surface form Disambiguated ID Type / Status
Subject Rijn E81826 entity
Predicate hasPart P35 FINISHED
Object Oberrhein E316891 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: Oberrhein | Statement: [Rijn, hasPart, Oberrhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberrhein
Context triple: [Rijn, hasPart, Oberrhein]
  • A. High Rhine
    The High Rhine is a stretch of the Rhine River in Central Europe, flowing swiftly between Lake Constance and Basel and forming part of the border between Germany and Switzerland.
  • B. Upper Rhine chosen
    The Upper Rhine is a major section of the Rhine River flowing along the borders of France, Germany, and Switzerland, known for its historic cities, vineyards, and role as a key European waterway.
  • C. Neckar
    The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
  • D. Kinzig
    The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • E. North Rhine
    North Rhine is a historical region in western Germany that forms part of the larger Rhineland area along the Rhine River.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c5ab7988190882df3b8198ad88a completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 2:59 p.m.