Triple

T15877767
Position Surface form Disambiguated ID Type / Status
Subject Bastei Bridge E384994 entity
Predicate near P350 FINISHED
Object Rathen E1127272 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: Rathen | Statement: [Bastei Bridge, near, Rathen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathen
Context triple: [Bastei Bridge, near, Rathen]
  • A. Rathen chosen
    Rathen is a small scenic town in Saxon Switzerland, Germany, known as a gateway for hikers and tourists visiting the nearby Bastei rock formations and Elbe Sandstone Mountains.
  • B. Rathwa
    Rathwa are an indigenous Adivasi community of western India, primarily known for their distinctive cultural traditions, including Pithora ritual wall paintings and agrarian lifestyle.
  • C. Rothaurach
    Rothaurach is a village and district of the town of Roth in the Bavarian region of Middle Franconia, Germany.
  • D. Rünthe
    Rünthe is a former independent locality in North Rhine-Westphalia, Germany, that now forms part of the town of Bergkamen.
  • E. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fec9d4819081efea504e1e3952 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa950a890819092bc1e8895034593 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.