Triple

T8600814
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Biberach E203668 entity
Predicate hasMunicipality P847 FINISHED
Object Ertingen
Ertingen is a municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
E772250 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: Ertingen | Statement: [Landkreis Biberach, hasMunicipality, Ertingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ertingen
Context triple: [Landkreis Biberach, hasMunicipality, Ertingen]
  • A. Eigeltingen
    Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
  • B. Treuchtlingen
    Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
  • C. Härkingen
    Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • D. Herrenberg
    Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
  • E. Pfullendorf
    Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
  • 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: Ertingen
Triple: [Landkreis Biberach, hasMunicipality, Ertingen]
Generated description
Ertingen is a municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ertingen
Target entity description: Ertingen is a municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • A. Eigeltingen
    Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
  • B. Treuchtlingen
    Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
  • C. Härkingen
    Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • D. Herrenberg
    Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
  • E. Pfullendorf
    Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb759f6c819085939e38e0281361 completed April 3, 2026, 3:23 p.m.
NEDg Description generation batch_69cfdbeba3808190b3d11a45bce24c80 completed April 3, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_69cfdc391e6081909b1f3ff823ce174d completed April 3, 2026, 3:26 p.m.
Created at: March 30, 2026, 6:24 p.m.