Triple

T9263089
Position Surface form Disambiguated ID Type / Status
Subject German Fairy Tale Route E222625 entity
Predicate passesThrough P225 FINISHED
Object Hofgeismar E518156 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: Hofgeismar | Statement: [German Fairy Tale Route, passesThrough, Hofgeismar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hofgeismar
Context triple: [German Fairy Tale Route, passesThrough, Hofgeismar]
  • A. Hofgeismar chosen
    Hofgeismar is a small historic town in the German state of Hesse, known for its medieval architecture and picturesque setting.
  • B. Bückeburg
    Bückeburg is a historic town in Lower Saxony, Germany, known for its former role as the residence of the Counts and Princes of Schaumburg-Lippe and its well-preserved Renaissance castle.
  • C. Höxter
    Höxter is a historic town in eastern North Rhine-Westphalia, Germany, known for its location on the River Weser and proximity to the UNESCO-listed Corvey Abbey.
  • D. Northeim
    Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
  • E. Fritzlar
    Fritzlar is a historic town in northern Hesse, Germany, known for its well-preserved medieval old town and its significance in early German Christian history.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0719eee081909e21ecb9d6dd0b49 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d58be8a4819088c419888a879e3e completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 7:32 p.m.