Triple

T19197261
Position Surface form Disambiguated ID Type / Status
Subject Lungau E470003 entity
Predicate contains P35 FINISHED
Object Muhr
Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
 E1362298 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: Muhr | Statement: [Lungau, contains, Muhr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muhr
Context triple: [Lungau, contains, Muhr]
  • A. Merzen
    Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • B. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • C. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • D. Mengerhausen
    Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
  • E. Mürz
    Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
  • 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: Muhr
Triple: [Lungau, contains, Muhr]
Generated description
Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muhr
Target entity description: Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
  • A. Merzen
    Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • B. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • C. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • D. Mengerhausen
    Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
  • E. Mürz
    Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a695cc8190b84a220f52c51dfc completed April 20, 2026, 9:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8c2805c8190be95a283c7db864f completed May 15, 2026, 10:43 a.m.
NEDg Description generation batch_6a06f948932c8190a4ce08178c00b251 completed May 15, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9e1fb708190958c64fd38d32d04 completed May 15, 2026, 10:48 a.m.
Created at: April 10, 2026, 12:07 p.m.