Triple

T15946798
Position Surface form Disambiguated ID Type / Status
Subject Alz E386705 entity
Predicate hasPart P35 FINISHED
Object Obere Alz E753840 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: Obere Alz | Statement: [Alz, hasPart, Obere Alz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obere Alz
Context triple: [Alz, hasPart, Obere Alz]
  • A. Obere Alz chosen
    Obere Alz is the upper course of the Alz River in Bavaria, Germany, known for its natural river landscapes and recreational opportunities such as kayaking and fishing.
  • B. Oberursel
    Oberursel is a town in the German state of Hesse, near Frankfurt am Main, known for its historic old town and location on the edge of the Taunus mountains.
  • C. Hohegeiß
    Hohegeiß is a mountain village and health resort in the Harz region of central Germany, known for its scenic landscapes and outdoor recreation.
  • D. Wirsberg
    Wirsberg is a small market town in the Upper Franconia region of Bavaria, Germany, known for its scenic location in the Franconian Forest and its historic architecture.
  • E. Oberdrees
    Oberdrees is a village-level district of the town of Rheinbach in the Rhein-Sieg-Kreis of North Rhine-Westphalia, 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d1a4c08190afc325491ba38870 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.