Triple

T16561051
Position Surface form Disambiguated ID Type / Status
Subject Calw district E402337 entity
Predicate containsTown P847 FINISHED
Object Simmozheim
Simmozheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
E1220140 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: Simmozheim | Statement: [Calw district, containsTown, Simmozheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simmozheim
Context triple: [Calw district, containsTown, Simmozheim]
  • A. Zamdorf
    Zamdorf is a residential and commercial neighborhood in the Bogenhausen borough of Munich, Germany.
  • B. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
  • C. Monkhams
    Monkhams is a suburban residential area in northeast London, known for its leafy streets and affluent character within the London Borough of Redbridge.
  • D. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, 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: Simmozheim
Triple: [Calw district, containsTown, Simmozheim]
Generated description
Simmozheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simmozheim
Target entity description: Simmozheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • A. Zamdorf
    Zamdorf is a residential and commercial neighborhood in the Bogenhausen borough of Munich, Germany.
  • B. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
  • C. Monkhams
    Monkhams is a suburban residential area in northeast London, known for its leafy streets and affluent character within the London Borough of Redbridge.
  • D. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576d88288190b33543bea4706a36 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067be809c81909c93eb1253fbf8e5 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a006a4c343481909bf56cad83f3ed81 completed May 10, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a006afcbdb88190b34bfe6f4cc0fd40 completed May 10, 2026, 11:24 a.m.
Created at: April 10, 2026, 5:15 a.m.