Triple

T12638806
Position Surface form Disambiguated ID Type / Status
Subject Northeim district E301836 entity
Predicate containsMunicipality P852 FINISHED
Object Fredelsloh (village)
Fredelsloh is a small rural village in Lower Saxony, Germany, known for its historic monastery and traditional pottery.
E994722 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: Fredelsloh (village) | Statement: [Northeim district, containsMunicipality, Fredelsloh (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredelsloh (village)
Context triple: [Northeim district, containsMunicipality, Fredelsloh (village)]
  • A. Albersloh
    Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
  • B. Elfershausen
    Elfershausen is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character and historic village charm.
  • C. Fröndenberg
    Fröndenberg is a small town in North Rhine-Westphalia, Germany, situated on the Ruhr River and known for its scenic rural surroundings.
  • D. Lohne
    Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
  • E. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western 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: Fredelsloh (village)
Triple: [Northeim district, containsMunicipality, Fredelsloh (village)]
Generated description
Fredelsloh is a small rural village in Lower Saxony, Germany, known for its historic monastery and traditional pottery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fredelsloh (village)
Target entity description: Fredelsloh is a small rural village in Lower Saxony, Germany, known for its historic monastery and traditional pottery.
  • A. Albersloh
    Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
  • B. Elfershausen
    Elfershausen is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character and historic village charm.
  • C. Fröndenberg
    Fröndenberg is a small town in North Rhine-Westphalia, Germany, situated on the Ruhr River and known for its scenic rural surroundings.
  • D. Lohne
    Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
  • E. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western 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_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_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2da60881909b0a689821456bb4 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:16 p.m.