Triple

T1558232
Position Surface form Disambiguated ID Type / Status
Subject Weser E33257 entity
Predicate tributary P415 FINISHED
Object Bever
Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
 E177248 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: Bever | Statement: [Weser, tributary, Bever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bever
Context triple: [Weser, tributary, Bever]
  • A. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • B. Orval
    Orval is a masculine given name most notably associated with American politician Orval Faubus, the governor of Arkansas during the Little Rock Integration Crisis.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • 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: Bever
Triple: [Weser, tributary, Bever]
Generated description
Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bever
Target entity description: Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
  • A. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • B. Orval
    Orval is a masculine given name most notably associated with American politician Orval Faubus, the governor of Arkansas during the Little Rock Integration Crisis.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3710688c8190a280f03bced5601f completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad3812855881909b571d6a7a96d524 completed March 8, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad38a4017c8190b2c5f1f0d1d9b5a5 completed March 8, 2026, 8:51 a.m.
Created at: March 4, 2026, 7:27 p.m.