Triple

T3160433
Position Surface form Disambiguated ID Type / Status
Subject Pöcking E66087 entity
Predicate hasSubdivision P747 FINISHED
Object Maising
Maising is a small village that forms part of the municipality of Pöcking in Bavaria, Germany.
 E332139 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: Maising | Statement: [Pöcking, hasSubdivision, Maising]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maising
Context triple: [Pöcking, hasSubdivision, Maising]
  • A. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • B. Mucho Maas
    Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
  • C. Mykelti
    Mykelti is the distinctive given name of American actor Mykelti Williamson, known for roles in films like "Forrest Gump" and various television series.
  • D. Mangina
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • E. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • 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: Maising
Triple: [Pöcking, hasSubdivision, Maising]
Generated description
Maising is a small village that forms part of the municipality of Pöcking in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maising
Target entity description: Maising is a small village that forms part of the municipality of Pöcking in Bavaria, Germany.
  • A. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • B. Mucho Maas
    Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
  • C. Mykelti
    Mykelti is the distinctive given name of American actor Mykelti Williamson, known for roles in films like "Forrest Gump" and various television series.
  • D. Mangina
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • E. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61606bc8190a8ad760d680924eb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250d2b8c81908585d9563f9b4d16 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225df6978819096c275e266263806 completed March 12, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2263e62a88190bf260cfcb00a86ea completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.