Triple

T22153819
Position Surface form Disambiguated ID Type / Status
Subject Pajottenland E547480 entity
Predicate contains P35 FINISHED
Object Bever
Bever is a small municipality in the Flemish Brabant province of Belgium, located in the rural Pajottenland region near the language border.
 E1521837 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: [Pajottenland, contains, Bever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bever
Context triple: [Pajottenland, contains, Bever]
  • A. Bever
    Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
  • B. Bever
    Bever is a small Swiss alpine village and municipality in the canton of Graubünden, known for its traditional Engadine architecture and scenic mountain surroundings.
  • C. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • D. Bever Dam
    Bever Dam is one of the German dams targeted by the RAF's famous World War II "Dambusters" bombing raid in 1943.
  • E. Beverle
    Beverle "Bebe" Buell is an American model, singer, and former fashion icon known for her work in the 1970s and her connections to prominent rock musicians.
  • 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: [Pajottenland, contains, Bever]
Generated description
Bever is a small municipality in the Flemish Brabant province of Belgium, located in the rural Pajottenland region near the language border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bever
Target entity description: Bever is a small municipality in the Flemish Brabant province of Belgium, located in the rural Pajottenland region near the language border.
  • A. Bever
    Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
  • B. Bever
    Bever is a small Swiss alpine village and municipality in the canton of Graubünden, known for its traditional Engadine architecture and scenic mountain surroundings.
  • C. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • D. Bever Dam
    Bever Dam is one of the German dams targeted by the RAF's famous World War II "Dambusters" bombing raid in 1943.
  • E. Beverle
    Beverle "Bebe" Buell is an American model, singer, and former fashion icon known for her work in the 1970s and her connections to prominent rock musicians.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970a95488190ac723daa646820d0 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a98bae8bc8190bd6a87983a1a6732 completed May 18, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a99485cf881908764d64050667ea1 completed May 18, 2026, 4:44 a.m.
Created at: April 16, 2026, 8:33 p.m.