Triple

T18715368
Position Surface form Disambiguated ID Type / Status
Subject German Wine Route E457623 entity
Predicate passesThrough P225 FINISHED
Object Annweiler am Trifels NE NERFINISHED

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: Annweiler am Trifels | Statement: [German Wine Route, passesThrough, Annweiler am Trifels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annweiler am Trifels
Context triple: [German Wine Route, passesThrough, Annweiler am Trifels]
  • A. Annweiler am Trifels chosen
    Annweiler am Trifels is a historic town in Rhineland-Palatinate, Germany, known for the nearby Trifels Castle where the Imperial Regalia were once kept.
  • B. Wiehl
    Wiehl is a small town in western Germany’s North Rhine-Westphalia region, known for its picturesque setting in the hilly Bergisches Land and its mix of rural charm and light industry.
  • C. Wiehl
    Wiehl is a river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Agger.
  • D. Hörschweiler
    Hörschweiler is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
  • E. Wennigloh
    Wennigloh is a small village and district of the town of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab611bc819085164f252ac3a390 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.