Triple

T5013674
Position Surface form Disambiguated ID Type / Status
Subject Röthenbach E112687 entity
Predicate servesDistrict P82 FINISHED
Object Röthenbach bei Schweinau E112687 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: Röthenbach bei Schweinau | Statement: [Röthenbach, servesDistrict, Röthenbach bei Schweinau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Röthenbach bei Schweinau
Context triple: [Röthenbach, servesDistrict, Röthenbach bei Schweinau]
  • A. Röthenbach chosen
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • B. Rohrbach
    Rohrbach is a smaller river or stream in Austria that serves as a tributary of the Breg River.
  • C. Rottal-Inn
    Rottal-Inn is a rural district in southeastern Bavaria, Germany, known for its spa towns, agricultural landscape, and location along the Rott and Inn rivers.
  • D. Nieder-Rehbach
    Nieder-Rehbach is a small village in Germany, notable as the birthplace of American socialist politician Victor L. Berger.
  • E. Rottach-Egern
    Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.