Triple

T19325702
Position Surface form Disambiguated ID Type / Status
Subject Heilbronn (district) E483340 entity
Predicate contains P35 FINISHED
Object Pfaffenhofen (Württemberg)
Pfaffenhofen (Württemberg) is a small municipality in the German state of Baden-Württemberg, situated within the Heilbronn region.
E1370558 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: Pfaffenhofen (Württemberg) | Statement: [Heilbronn (district), contains, Pfaffenhofen (Württemberg)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfaffenhofen (Württemberg)
Context triple: [Heilbronn (district), contains, Pfaffenhofen (Württemberg)]
  • A. Pfaffenhofen an der Roth
    Pfaffenhofen an der Roth is a municipality in the district of Neu-Ulm in the Bavarian region of Germany.
  • B. Pfaffenhausen
    Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
  • C. Pfaffenhofen an der Ilm
    Pfaffenhofen an der Ilm is a Bavarian town in southern Germany known for its historic center, hop-growing tradition, and location between Munich and Ingolstadt.
  • D. Pfeffenhausen
    Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
  • E. Königshofen
    Königshofen is a district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, 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: Pfaffenhofen (Württemberg)
Triple: [Heilbronn (district), contains, Pfaffenhofen (Württemberg)]
Generated description
Pfaffenhofen (Württemberg) is a small municipality in the German state of Baden-Württemberg, situated within the Heilbronn region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pfaffenhofen (Württemberg)
Target entity description: Pfaffenhofen (Württemberg) is a small municipality in the German state of Baden-Württemberg, situated within the Heilbronn region.
  • A. Pfaffenhofen an der Roth
    Pfaffenhofen an der Roth is a municipality in the district of Neu-Ulm in the Bavarian region of Germany.
  • B. Pfaffenhausen
    Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
  • C. Pfaffenhofen an der Ilm
    Pfaffenhofen an der Ilm is a Bavarian town in southern Germany known for its historic center, hop-growing tradition, and location between Munich and Ingolstadt.
  • D. Pfeffenhausen
    Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
  • E. Königshofen
    Königshofen is a district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bdc5a2881908b7e71c397be2c2f completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:33 p.m.