Triple

T5119459
Position Surface form Disambiguated ID Type / Status
Subject South Hesse E115424 entity
Predicate contains P35 FINISHED
Object Odenwaldkreis E438629 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: Odenwaldkreis | Statement: [South Hesse, contains, Odenwaldkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odenwaldkreis
Context triple: [South Hesse, contains, Odenwaldkreis]
  • A. Odenwaldkreis chosen
    Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
  • B. Rheingau-Taunus-Kreis
    Rheingau-Taunus-Kreis is a rural district in the German state of Hesse, known for its wine-growing Rheingau region and its location along the Taunus mountains.
  • C. Rhein-Sieg-Kreis
    Rhein-Sieg-Kreis is a district in the German state of North Rhine-Westphalia, situated along the Rhine River and surrounding the city of Bonn.
  • D. Main-Taunus-Kreis
    Main-Taunus-Kreis is a district in the German state of Hesse, located west of Frankfurt am Main and known for its affluent communities and strong economic profile.
  • E. Enzkreis district
    Enzkreis district is a rural administrative district in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Pforzheim.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9185b9481908afd32bdeefa3f1e completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:42 p.m.