Triple

T9540608
Position Surface form Disambiguated ID Type / Status
Subject Straubing-Bogen E230145 entity
Predicate contains P35 FINISHED
Object Pfaffenberg
Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
E891457 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: Pfaffenberg | Statement: [Straubing-Bogen, contains, Pfaffenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfaffenberg
Context triple: [Straubing-Bogen, contains, Pfaffenberg]
  • A. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
  • B. Pfullendorf
    Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
  • C. Pfaffendorf
    Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
  • D. Pfaffstätten
    Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
  • E. Pfeffingen
    Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • 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: Pfaffenberg
Triple: [Straubing-Bogen, contains, Pfaffenberg]
Generated description
Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pfaffenberg
Target entity description: Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
  • A. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
  • B. Pfullendorf
    Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
  • C. Pfaffendorf
    Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
  • D. Pfaffstätten
    Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
  • E. Pfeffingen
    Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69dff74d59f88190bbd975521b16ae49 completed April 15, 2026, 8:38 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: March 30, 2026, 8:01 p.m.