Triple

T7239114
Position Surface form Disambiguated ID Type / Status
Subject Genthin E155308 entity
Predicate hasSubdivision P747 FINISHED
Object Mützel
Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
 E650803 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: Mützel | Statement: [Genthin, hasSubdivision, Mützel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mützel
Context triple: [Genthin, hasSubdivision, Mützel]
  • A. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • B. Mauzy
    Mauzy is the surname of American actress Mackenzie Mauzy, known for her roles in television and film.
  • C. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • D. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • E. Murzasichle
    Murzasichle is a picturesque village in southern Poland, known for its traditional highlander culture and scenic location near the Tatra Mountains.
  • 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: Mützel
Triple: [Genthin, hasSubdivision, Mützel]
Generated description
Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mützel
Target entity description: Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
  • A. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • B. Mauzy
    Mauzy is the surname of American actress Mackenzie Mauzy, known for her roles in television and film.
  • C. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • D. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • E. Murzasichle
    Murzasichle is a picturesque village in southern Poland, known for its traditional highlander culture and scenic location near the Tatra Mountains.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7ce24f4148190877852983c9aadb5 completed March 28, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7ce9f73508190a2d1eb35237c3073 completed March 28, 2026, 12:50 p.m.
Created at: March 27, 2026, 2:55 p.m.