Triple

T12406348
Position Surface form Disambiguated ID Type / Status
Subject Werra-Meißner-Kreis E296396 entity
Predicate containsMunicipality P852 FINISHED
Object Wehretal
Wehretal is a small municipality in the Werra-Meißner district of northern Hesse, Germany, known for its rural character and location in the Werra valley.
E989360 NE FINISHED

How this triple was built (4 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: Wehretal | Statement: [Werra-Meißner-Kreis, containsMunicipality, Wehretal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wehretal
Context triple: [Werra-Meißner-Kreis, containsMunicipality, Wehretal]
  • A. Wohratal
    Wohratal is a small rural municipality in the Marburg-Biedenkopf district of the German state of Hesse.
  • B. Löstertal
    Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
  • C. Lautertal
    Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
  • D. Schuttertal
    Schuttertal is a rural municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenaukreis district and known for its scenic valleys and Black Forest landscapes.
  • E. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wehretal
Triple: [Werra-Meißner-Kreis, containsMunicipality, Wehretal]
Generated description
Wehretal is a small municipality in the Werra-Meißner district of northern Hesse, Germany, known for its rural character and location in the Werra valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wehretal
Target entity description: Wehretal is a small municipality in the Werra-Meißner district of northern Hesse, Germany, known for its rural character and location in the Werra valley.
  • A. Wohratal
    Wohratal is a small rural municipality in the Marburg-Biedenkopf district of the German state of Hesse.
  • B. Löstertal
    Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
  • C. Lautertal
    Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
  • D. Schuttertal
    Schuttertal is a rural municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenaukreis district and known for its scenic valleys and Black Forest landscapes.
  • E. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • F. None of above. chosen

Provenance (5 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556240f48190a3510d10ab98127b completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f6566dccc0819085e059c7b0288f6c completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:55 p.m.