Triple

T9414018
Position Surface form Disambiguated ID Type / Status
Subject Castle Road E226768 entity
Predicate passesThrough P225 FINISHED
Object Rothenburg ob der Tauber E166074 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: Rothenburg ob der Tauber | Statement: [Castle Road, passesThrough, Rothenburg ob der Tauber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rothenburg ob der Tauber
Context triple: [Castle Road, passesThrough, Rothenburg ob der Tauber]
  • A. Rothenburg ob der Tauber chosen
    Rothenburg ob der Tauber is a well-preserved medieval town in Bavaria, Germany, famed for its intact city walls, half-timbered houses, and picturesque old town.
  • B. Rothenburg
    Rothenburg is a locality within the town of Wettin-Löbejün in the German state of Saxony-Anhalt.
  • C. Günzburg
    Günzburg is a small Bavarian town in southern Germany, historically notable as the birthplace of Nazi physician Josef Mengele.
  • D. Bad Wurzach
    Bad Wurzach is a spa town in the Allgäu region of southern Germany, known for its moorland landscapes and therapeutic mud baths.
  • E. Rottenburg am Neckar
    Rottenburg am Neckar is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and location along the Neckar River.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c680e48190be82e3829e8711f0 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b63cf48190a072e3434a7b85a8 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.