Triple

T13025821
Position Surface form Disambiguated ID Type / Status
Subject Westerwald E326302 entity
Predicate contains P35 FINISHED
Object Westerwaldkreis E803194 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: Westerwaldkreis | Statement: [Westerwald, contains, Westerwaldkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerwaldkreis
Context triple: [Westerwald, contains, Westerwaldkreis]
  • A. Westerwaldkreis chosen
    Westerwaldkreis is a rural district in the German state of Rhineland-Palatinate, known for its forested low mountain landscape and traditional ceramics industry.
  • B. Odenwaldkreis
    Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
  • 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. 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.
  • E. Rhein-Lahn-Kreis
    Rhein-Lahn-Kreis is a rural district in the German state of Rhineland-Palatinate, known for its scenic landscapes along the Rhine and Lahn rivers and its historic towns and castles.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11f83d88190bc153dba75db0995 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:53 p.m.