Triple

T19391572
Position Surface form Disambiguated ID Type / Status
Subject Ostalbkreis E485080 entity
Predicate containsMunicipality P852 FINISHED
Object Jagstzell
Jagstzell is a small municipality in the eastern Baden-Württemberg region of Germany, characterized by its rural setting and location within the Ostalb district.
E1404337 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: Jagstzell | Statement: [Ostalbkreis, containsMunicipality, Jagstzell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jagstzell
Context triple: [Ostalbkreis, containsMunicipality, Jagstzell]
  • A. Vaihingen
    Vaihingen is a district in the southwest of Stuttgart, Germany, known for its mix of residential areas, business parks, and proximity to major transport links.
  • B. Lautlingen
    Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
  • C. Radolfzell
    Radolfzell is a town on the western shore of Lake Constance in southern Germany, known for its historic old town and lakeside setting.
  • D. Gerlachsheim
    Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
  • E. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • 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: Jagstzell
Triple: [Ostalbkreis, containsMunicipality, Jagstzell]
Generated description
Jagstzell is a small municipality in the eastern Baden-Württemberg region of Germany, characterized by its rural setting and location within the Ostalb district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jagstzell
Target entity description: Jagstzell is a small municipality in the eastern Baden-Württemberg region of Germany, characterized by its rural setting and location within the Ostalb district.
  • A. Vaihingen
    Vaihingen is a district in the southwest of Stuttgart, Germany, known for its mix of residential areas, business parks, and proximity to major transport links.
  • B. Lautlingen
    Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
  • C. Radolfzell
    Radolfzell is a town on the western shore of Lake Constance in southern Germany, known for its historic old town and lakeside setting.
  • D. Gerlachsheim
    Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
  • E. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b45caec81909dafdf66b361effd completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdb0fdb081908e803fb558158374 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe4573a48190919a59e466b34e35 completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07fede18a08190a7a7a698d7598023 completed May 16, 2026, 5:21 a.m.
Created at: April 10, 2026, 1:36 p.m.