Triple

T19484167
Position Surface form Disambiguated ID Type / Status
Subject Rems-Murr-Kreis E487464 entity
Predicate hasMunicipality P847 FINISHED
Object Oppenweiler
Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
E1389388 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: Oppenweiler | Statement: [Rems-Murr-Kreis, hasMunicipality, Oppenweiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oppenweiler
Context triple: [Rems-Murr-Kreis, hasMunicipality, Oppenweiler]
  • A. Friedrichstal
    Friedrichstal is a small village or locality that forms part of the municipality of Baiersbronn in the Black Forest region of southwestern Germany.
  • B. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • C. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • D. Passenheim
    Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
  • E. Umkirch
    Umkirch is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
  • 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: Oppenweiler
Triple: [Rems-Murr-Kreis, hasMunicipality, Oppenweiler]
Generated description
Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oppenweiler
Target entity description: Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
  • A. Friedrichstal
    Friedrichstal is a small village or locality that forms part of the municipality of Baiersbronn in the Black Forest region of southwestern Germany.
  • B. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • C. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • D. Passenheim
    Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
  • E. Umkirch
    Umkirch is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343dcc748190b0df816e6ab4cafb completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787a7cb5081909658cc9700f878d6 completed May 15, 2026, 8:52 p.m.
NEDg Description generation batch_6a078990bee48190ba8b662620e633bd completed May 15, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_6a078af607bc8190879268b5b2510757 completed May 15, 2026, 9:07 p.m.
Created at: April 10, 2026, 1:39 p.m.