Triple

T8797352
Position Surface form Disambiguated ID Type / Status
Subject Oberursel (Taunus) E209321 entity
Predicate hasDistrict P459 FINISHED
Object Bommersheim
Bommersheim is a district of the town Oberursel in the Taunus region of Hesse, Germany, known for its residential character and local historical roots.
 E759605 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: Bommersheim | Statement: [Oberursel (Taunus), hasDistrict, Bommersheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bommersheim
Context triple: [Oberursel (Taunus), hasDistrict, Bommersheim]
  • A. Halévy
    Halévy is a notable French surname associated with a prominent 19th-century family of writers and composers, including figures such as Ludovic Halévy.
  • B. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • C. Tonio Kröger
    Tonio Kröger is a novella by Thomas Mann that explores the inner conflict of an artist torn between bourgeois respectability and bohemian creativity.
  • D. Sindorf
    Sindorf is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • 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: Bommersheim
Triple: [Oberursel (Taunus), hasDistrict, Bommersheim]
Generated description
Bommersheim is a district of the town Oberursel in the Taunus region of Hesse, Germany, known for its residential character and local historical roots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bommersheim
Target entity description: Bommersheim is a district of the town Oberursel in the Taunus region of Hesse, Germany, known for its residential character and local historical roots.
  • A. Halévy
    Halévy is a notable French surname associated with a prominent 19th-century family of writers and composers, including figures such as Ludovic Halévy.
  • B. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • C. Tonio Kröger
    Tonio Kröger is a novella by Thomas Mann that explores the inner conflict of an artist torn between bourgeois respectability and bohemian creativity.
  • D. Sindorf
    Sindorf is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf71c118848190a937ecf714556ef3 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf744b17e88190b14607e6dff823a3 completed April 3, 2026, 8:03 a.m.
Created at: March 30, 2026, 6:44 p.m.