Triple

T5301148
Position Surface form Disambiguated ID Type / Status
Subject Ortenaukreis E119983 entity
Predicate containsMunicipality P852 FINISHED
Object Hausach E526303 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: Hausach | Statement: [Ortenaukreis, containsMunicipality, Hausach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hausach
Context triple: [Ortenaukreis, containsMunicipality, Hausach]
  • A. Hausach chosen
    Hausach is a small town in Germany’s Black Forest region, known for its scenic valley setting along the Kinzig River and its traditional timber-framed architecture.
  • B. Miesbach
    Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
  • C. Biberach an der Riß
    Biberach an der Riß is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and traditional Swabian culture.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8509f67c8190b2f82a8370301a59 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe14608d88190ba2573da7cb783fe completed March 22, 2026, 12:32 p.m.
Created at: March 20, 2026, 1:53 p.m.