Triple

T2777531
Position Surface form Disambiguated ID Type / Status
Subject Göttingen district E61609 entity
Predicate contains P35 FINISHED
Object Bovenden
Bovenden is a municipality in Lower Saxony, Germany, situated just north of the city of Göttingen.
 E296395 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: Bovenden | Statement: [Göttingen district, contains, Bovenden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bovenden
Context triple: [Göttingen district, contains, Bovenden]
  • A. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Buitenkaag
    Buitenkaag is a small village in the Dutch province of North Holland, situated in the municipality of Haarlemmermeer near the Kagerplassen lake area.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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: Bovenden
Triple: [Göttingen district, contains, Bovenden]
Generated description
Bovenden is a municipality in Lower Saxony, Germany, situated just north of the city of Göttingen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bovenden
Target entity description: Bovenden is a municipality in Lower Saxony, Germany, situated just north of the city of Göttingen.
  • A. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Buitenkaag
    Buitenkaag is a small village in the Dutch province of North Holland, situated in the municipality of Haarlemmermeer near the Kagerplassen lake area.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd82a864819082bd1181a16d5208 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05adf908190bd16bbb6f8ea213a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0d32d5881908b80e0bfca5cd873 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc13548088190a2d5f48144c853a4 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.