Triple

T9558347
Position Surface form Disambiguated ID Type / Status
Subject Achim E230602 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Oyten
Oyten is a municipality in the district of Verden in Lower Saxony, Germany, located near the city of Bremen.
 E806482 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: Oyten | Statement: [Achim, hasNeighboringMunicipality, Oyten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oyten
Context triple: [Achim, hasNeighboringMunicipality, Oyten]
  • A. Nockeby
    Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
  • B. Norddeich
    Norddeich is a coastal district and popular North Sea resort area of the town of Norden in Lower Saxony, Germany, known for its ferry connections to the East Frisian Islands.
  • C. Birkholm
    Birkholm is a small, sparsely populated Danish island known for its tranquil natural environment and traditional village atmosphere in the South Funen Archipelago.
  • D. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • E. Torpenhow
    Torpenhow is a small village in the Allerdale district of Cumbria, England, known for its historic church and distinctive place-name.
  • 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: Oyten
Triple: [Achim, hasNeighboringMunicipality, Oyten]
Generated description
Oyten is a municipality in the district of Verden in Lower Saxony, Germany, located near the city of Bremen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oyten
Target entity description: Oyten is a municipality in the district of Verden in Lower Saxony, Germany, located near the city of Bremen.
  • A. Nockeby
    Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
  • B. Norddeich
    Norddeich is a coastal district and popular North Sea resort area of the town of Norden in Lower Saxony, Germany, known for its ferry connections to the East Frisian Islands.
  • C. Birkholm
    Birkholm is a small, sparsely populated Danish island known for its tranquil natural environment and traditional village atmosphere in the South Funen Archipelago.
  • D. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • E. Torpenhow
    Torpenhow is a small village in the Allerdale district of Cumbria, England, known for its historic church and distinctive place-name.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.