Triple

T12638800
Position Surface form Disambiguated ID Type / Status
Subject Northeim district E301836 entity
Predicate containsMunicipality P852 FINISHED
Object Moringen
Moringen is a small town and municipality in Lower Saxony, Germany, known for its historical architecture and surrounding rural landscapes.
E994718 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: Moringen | Statement: [Northeim district, containsMunicipality, Moringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moringen
Context triple: [Northeim district, containsMunicipality, Moringen]
  • A. Rammenau
    Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
  • B. Mungia
    Mungia is a town and municipality in the province of Biscay in Spain’s Basque Country.
  • C. Maretz
    Maretz is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • D. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • E. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • 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: Moringen
Triple: [Northeim district, containsMunicipality, Moringen]
Generated description
Moringen is a small town and municipality in Lower Saxony, Germany, known for its historical architecture and surrounding rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moringen
Target entity description: Moringen is a small town and municipality in Lower Saxony, Germany, known for its historical architecture and surrounding rural landscapes.
  • A. Rammenau
    Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
  • B. Mungia
    Mungia is a town and municipality in the province of Biscay in Spain’s Basque Country.
  • C. Maretz
    Maretz is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • D. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • E. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • 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.