Triple

T19335326
Position Surface form Disambiguated ID Type / Status
Subject Vogelsbergkreis E483606 entity
Predicate containsMunicipality P852 FINISHED
Object Gemünden (Felda)
Gemünden (Felda) is a small municipality in the state of Hesse in central Germany.
 E1370635 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: Gemünden (Felda) | Statement: [Vogelsbergkreis, containsMunicipality, Gemünden (Felda)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gemünden (Felda)
Context triple: [Vogelsbergkreis, containsMunicipality, Gemünden (Felda)]
  • A. Burgfelden
    Burgfelden is a village in the Swabian Jura region of Baden-Württemberg, Germany, now incorporated into the town of Albstadt.
  • B. Ruhmannsfelden
    Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
  • C. Merdingen
    Merdingen is a municipality in southwestern Germany’s Baden-Württemberg region, known for its winegrowing tradition and location near Freiburg im Breisgau.
  • D. Mitte-Gartenfeld
    Mitte-Gartenfeld is a district of the German city of Trier (historically known as Treves), characterized by its urban residential areas and proximity to the historic city center.
  • E. Bodenfelde
    Bodenfelde is a small municipality in Lower Saxony, Germany, situated along the Weser River and known for its rural character and scenic surroundings.
  • 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: Gemünden (Felda)
Triple: [Vogelsbergkreis, containsMunicipality, Gemünden (Felda)]
Generated description
Gemünden (Felda) is a small municipality in the state of Hesse in central Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gemünden (Felda)
Target entity description: Gemünden (Felda) is a small municipality in the state of Hesse in central Germany.
  • A. Burgfelden
    Burgfelden is a village in the Swabian Jura region of Baden-Württemberg, Germany, now incorporated into the town of Albstadt.
  • B. Ruhmannsfelden
    Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
  • C. Merdingen
    Merdingen is a municipality in southwestern Germany’s Baden-Württemberg region, known for its winegrowing tradition and location near Freiburg im Breisgau.
  • D. Mitte-Gartenfeld
    Mitte-Gartenfeld is a district of the German city of Trier (historically known as Treves), characterized by its urban residential areas and proximity to the historic city center.
  • E. Bodenfelde
    Bodenfelde is a small municipality in Lower Saxony, Germany, situated along the Weser River and known for its rural character and scenic surroundings.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be4ca388190986a61eb535df4bd completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:33 p.m.