Triple

T16471182
Position Surface form Disambiguated ID Type / Status
Subject Calw E400063 entity
Predicate hasSubdivision P747 FINISHED
Object Stammheim
Stammheim is a district of the town of Calw in the state of Baden-Württemberg in southwestern Germany.
E1215516 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: Stammheim | Statement: [Calw, hasSubdivision, Stammheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stammheim
Context triple: [Calw, hasSubdivision, Stammheim]
  • A. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • B. Huisheim
    Huisheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • C. Bornheim
    Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
  • D. Klipphausen
    Klipphausen is a municipality in the Free State of Saxony in eastern Germany, known for its rural landscape, historic estates, and proximity to the city of Dresden.
  • E. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central 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: Stammheim
Triple: [Calw, hasSubdivision, Stammheim]
Generated description
Stammheim is a district of the town of Calw in the state of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stammheim
Target entity description: Stammheim is a district of the town of Calw in the state of Baden-Württemberg in southwestern Germany.
  • A. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • B. Huisheim
    Huisheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • C. Bornheim
    Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
  • D. Klipphausen
    Klipphausen is a municipality in the Free State of Saxony in eastern Germany, known for its rural landscape, historic estates, and proximity to the city of Dresden.
  • E. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd0d2fc81909b68b5afb00f192f completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5af4308190bd023624de35027f completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050c5d4548190a674c1c19f08a9fd completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0051a7ae208190b33d42cc8d4bb21f completed May 10, 2026, 9:36 a.m.
Created at: April 10, 2026, 5:11 a.m.