Triple

T16688206
Position Surface form Disambiguated ID Type / Status
Subject Friesland district E405521 entity
Predicate contains P35 FINISHED
Object Zetel
Zetel is a municipality in the Friesland district of Lower Saxony in northwestern Germany, known for its rural character and proximity to the North Sea coast.
 E1228410 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: Zetel | Statement: [Friesland district, contains, Zetel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zetel
Context triple: [Friesland district, contains, Zetel]
  • A. Kestel
    Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
  • B. Zenta
    Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
  • C. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • D. Zedde
    Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
  • E. Seta
    Seta is a scenic area in Ōmi (modern Shiga Prefecture), Japan, famed for its picturesque bridge and riverside views that have been celebrated in classical Japanese art and poetry.
  • 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: Zetel
Triple: [Friesland district, contains, Zetel]
Generated description
Zetel is a municipality in the Friesland district of Lower Saxony in northwestern Germany, known for its rural character and proximity to the North Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zetel
Target entity description: Zetel is a municipality in the Friesland district of Lower Saxony in northwestern Germany, known for its rural character and proximity to the North Sea coast.
  • A. Kestel
    Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
  • B. Zenta
    Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
  • C. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • D. Zedde
    Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
  • E. Seta
    Seta is a scenic area in Ōmi (modern Shiga Prefecture), Japan, famed for its picturesque bridge and riverside views that have been celebrated in classical Japanese art and poetry.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a45af7c8190bfe09dd0e0573573 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b41a1648190bd1c2268c8a80ee2 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008c2bcac48190801ba34fde104a8a completed May 10, 2026, 1:46 p.m.
Created at: April 10, 2026, 5:19 a.m.