Triple

T16874227
Position Surface form Disambiguated ID Type / Status
Subject Baiersbronn E421254 entity
Predicate hasPart P35 FINISHED
Object Friedrichstal
Friedrichstal is a small village or locality that forms part of the municipality of Baiersbronn in the Black Forest region of southwestern Germany.
E1254377 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: Friedrichstal | Statement: [Baiersbronn, hasPart, Friedrichstal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichstal
Context triple: [Baiersbronn, hasPart, Friedrichstal]
  • A. Scheyern
    Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
  • B. Rüthen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • C. Siegbach
    Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
  • D. Tannheim
    Tannheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its rural character and Swabian cultural heritage.
  • E. Pellenz
    Pellenz is a municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • 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: Friedrichstal
Triple: [Baiersbronn, hasPart, Friedrichstal]
Generated description
Friedrichstal is a small village or locality that forms part of the municipality of Baiersbronn in the Black Forest region of southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Friedrichstal
Target entity description: Friedrichstal is a small village or locality that forms part of the municipality of Baiersbronn in the Black Forest region of southwestern Germany.
  • A. Scheyern
    Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
  • B. Rüthen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • C. Siegbach
    Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
  • D. Tannheim
    Tannheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its rural character and Swabian cultural heritage.
  • E. Pellenz
    Pellenz is a municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f5290481909e0fd0af30935fcd completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481dfcdc8190818456f89c285df4 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0149a552c88190a4f615f67459a705 completed May 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a014a095934819097be0ad099bcde66 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:29 a.m.