Triple

T11272802
Position Surface form Disambiguated ID Type / Status
Subject Rhine Valley E266854 entity
Predicate containsSettlement P847 FINISHED
Object Boppard E373617 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: Boppard | Statement: [Rhine Valley, containsSettlement, Boppard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boppard
Context triple: [Rhine Valley, containsSettlement, Boppard]
  • A. Boppard chosen
    Boppard is a historic town on the Rhine River in Germany, renowned for its well-preserved medieval architecture, wine culture, and scenic river landscapes.
  • B. Andernach
    Andernach is a historic German town on the Rhine River in Rhineland-Palatinate, known for its medieval architecture and one of the world’s highest cold-water geysers.
  • C. Bruchsal
    Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
  • D. Lohmar
    Lohmar is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, situated near Cologne and known for its green surroundings and residential character.
  • E. Bingen am Rhein
    Bingen am Rhein is a historic town in Germany’s Rhineland-Palatinate, known as a gateway to the scenic Upper Middle Rhine Valley with its castles, vineyards, and river landscapes.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee861f89b48190b06fba51475497e6 completed April 26, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:31 p.m.