Triple

T11287036
Position Surface form Disambiguated ID Type / Status
Subject River Beult E267219 entity
Predicate flowsThrough P225 FINISHED
Object Marden
Marden is a village in Kent, England, known for its rural character and agricultural surroundings.
 E916469 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: Marden | Statement: [River Beult, flowsThrough, Marden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marden
Context triple: [River Beult, flowsThrough, Marden]
  • A. Marden
    Marden is a surname most notably associated with the American minimalist painter Brice Marden.
  • B. Mortain
    Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
  • C. Manton
    Manton is a small unincorporated rural community in Tehama County, California, known for its agricultural setting and proximity to the Cascade Range foothills.
  • D. Manton
    Manton is a small unincorporated community located in Nelson County, Kentucky, known for its rural setting within the state's central region.
  • E. Manton
    Manton is a neighborhood and village area located within Providence County in the state of Rhode Island.
  • 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: Marden
Triple: [River Beult, flowsThrough, Marden]
Generated description
Marden is a village in Kent, England, known for its rural character and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marden
Target entity description: Marden is a village in Kent, England, known for its rural character and agricultural surroundings.
  • A. Marden
    Marden is a surname most notably associated with the American minimalist painter Brice Marden.
  • B. Mortain
    Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
  • C. Manton
    Manton is a small unincorporated rural community in Tehama County, California, known for its agricultural setting and proximity to the Cascade Range foothills.
  • D. Manton
    Manton is a small unincorporated community located in Nelson County, Kentucky, known for its rural setting within the state's central region.
  • E. Manton
    Manton is a neighborhood and village area located within Providence County in the state of Rhode Island.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4ff1e17e88190af1dd4b8bd8e5ca6 completed April 19, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69e500f5cfe481909c8e6dfd530084bc completed April 19, 2026, 4:21 p.m.
Created at: April 8, 2026, 9:32 p.m.