Triple

T12638803
Position Surface form Disambiguated ID Type / Status
Subject Northeim district E301836 entity
Predicate containsMunicipality P852 FINISHED
Object Bodenfelde
Bodenfelde is a small municipality in Lower Saxony, Germany, situated along the Weser River and known for its rural character and scenic surroundings.
E1040485 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: Bodenfelde | Statement: [Northeim district, containsMunicipality, Bodenfelde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodenfelde
Context triple: [Northeim district, containsMunicipality, Bodenfelde]
  • A. Ebensfeld
    Ebensfeld is a municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and location along the Main River.
  • B. Ochsenfeld
    Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
  • C. Hellefeld
    Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • D. Malsfeld
    Malsfeld is a small municipality in central Germany known for its rural character and location near the Fulda River.
  • E. Geisenfeld
    Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
  • 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: Bodenfelde
Triple: [Northeim district, containsMunicipality, Bodenfelde]
Generated description
Bodenfelde is a small municipality in Lower Saxony, Germany, situated along the Weser River and known for its rural character and scenic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bodenfelde
Target entity description: Bodenfelde is a small municipality in Lower Saxony, Germany, situated along the Weser River and known for its rural character and scenic surroundings.
  • A. Ebensfeld
    Ebensfeld is a municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and location along the Main River.
  • B. Ochsenfeld
    Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
  • C. Hellefeld
    Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • D. Malsfeld
    Malsfeld is a small municipality in central Germany known for its rural character and location near the Fulda River.
  • E. Geisenfeld
    Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739688734819092b14bd3edacd4ef completed May 3, 2026, 12:02 p.m.
NEDg Description generation batch_69f73ba2ae5c8190a17c71ce0df0eaf4 completed May 3, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_69f73bdb099c8190a90654709d33ccbf completed May 3, 2026, 12:13 p.m.
Created at: April 9, 2026, 5:16 p.m.