Triple

T8931272
Position Surface form Disambiguated ID Type / Status
Subject Hesse-Bessungen E212658 entity
Predicate associatedWith P37 FINISHED
Object Bessungen
Bessungen is a historic district of the city of Darmstadt in the German state of Hesse, known for its traditional architecture and village-like character.
 E766287 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: Bessungen | Statement: [Hesse-Bessungen, associatedWith, Bessungen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bessungen
Context triple: [Hesse-Bessungen, associatedWith, Bessungen]
  • A. Schonungen
    Schonungen is a municipality in the Lower Franconia region of Bavaria, Germany, situated near the city of Schweinfurt along the Main River.
  • B. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • C. Bett
    Bett is a given name, typically used as a short form or variant of names like Bette, Elizabeth, or Bettina.
  • D. Maiernigg
    Maiernigg is a lakeside village on Austria’s Wörthersee, best known as Gustav Mahler’s summer retreat where he composed several major works.
  • E. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, 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: Bessungen
Triple: [Hesse-Bessungen, associatedWith, Bessungen]
Generated description
Bessungen is a historic district of the city of Darmstadt in the German state of Hesse, known for its traditional architecture and village-like character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bessungen
Target entity description: Bessungen is a historic district of the city of Darmstadt in the German state of Hesse, known for its traditional architecture and village-like character.
  • A. Schonungen
    Schonungen is a municipality in the Lower Franconia region of Bavaria, Germany, situated near the city of Schweinfurt along the Main River.
  • B. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • C. Bett
    Bett is a given name, typically used as a short form or variant of names like Bette, Elizabeth, or Bettina.
  • D. Maiernigg
    Maiernigg is a lakeside village on Austria’s Wörthersee, best known as Gustav Mahler’s summer retreat where he composed several major works.
  • E. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668cdc0c8190b908fd23cbdef534 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba63544081909394500f28b34ccb completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbc685bf08190a716a28cc9bcd031 completed April 3, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_69cfbcc19ee081909e564040fea2ad9a completed April 3, 2026, 1:12 p.m.
Created at: March 30, 2026, 6:57 p.m.