Triple

T9208411
Position Surface form Disambiguated ID Type / Status
Subject District of Weilheim-Schongau E221046 entity
Predicate containsMunicipality P852 FINISHED
Object Prem
Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
 E785192 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: Prem | Statement: [District of Weilheim-Schongau, containsMunicipality, Prem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prem
Context triple: [District of Weilheim-Schongau, containsMunicipality, Prem]
  • A. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • B. Pres
    Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
  • C. Per
    Per is a Scandinavian masculine given name, commonly used in Norway, Sweden, and Denmark as a form of Peter.
  • D. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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: Prem
Triple: [District of Weilheim-Schongau, containsMunicipality, Prem]
Generated description
Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prem
Target entity description: Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • A. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • B. Pres
    Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
  • C. Per
    Per is a Scandinavian masculine given name, commonly used in Norway, Sweden, and Denmark as a form of Peter.
  • D. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b217008190a0ab4971dd4a8899 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e967508190acb962d37c390d68 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d06770ccf08190b00bf35c16a80071 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d06864b8c48190b8e08ab9c1c85c9a completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.