Triple

T8139412
Position Surface form Disambiguated ID Type / Status
Subject Romantic Road tourist route region E190052 entity
Predicate hasPart P35 FINISHED
Object Nördlingen E660035 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: Nördlingen | Statement: [Romantic Road tourist route region, hasPart, Nördlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nördlingen
Context triple: [Romantic Road tourist route region, hasPart, Nördlingen]
  • A. Nördlingen chosen
    Nördlingen is a historic Bavarian town in southern Germany, notable for its well-preserved medieval walls and location within a large meteorite impact crater.
  • B. Burghausen
    Burghausen is a historic Bavarian town in southeastern Germany, renowned for its remarkably well-preserved medieval old town and one of the longest castle complexes in the world.
  • C. Kempten
    Kempten is a historic town in Bavaria, Germany, considered one of the country’s oldest urban settlements and known for its location in the Allgäu region.
  • D. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • E. Günzburg
    Günzburg is a small Bavarian town in southern Germany, historically notable as the birthplace of Nazi physician Josef Mengele.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4403cd348190a66ca9ee70d750fb completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1aaaeb4819093185b33309052ea completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 5:35 p.m.