Triple

T4881151
Position Surface form Disambiguated ID Type / Status
Subject River Idle E109328 entity
Predicate flowsThrough P225 FINISHED
Object Mattersey
Mattersey is a small village and civil parish in Nottinghamshire, England, known for its rural setting and historic priory remains.
 E476164 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: Mattersey | Statement: [River Idle, flowsThrough, Mattersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mattersey
Context triple: [River Idle, flowsThrough, Mattersey]
  • A. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • B. Wantagh
    Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
  • C. Henstead
    Henstead is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • D. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • E. Maincy
    Maincy is a commune in north-central France best known for encompassing the Château and Gardens of Vaux-le-Vicomte.
  • 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: Mattersey
Triple: [River Idle, flowsThrough, Mattersey]
Generated description
Mattersey is a small village and civil parish in Nottinghamshire, England, known for its rural setting and historic priory remains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mattersey
Target entity description: Mattersey is a small village and civil parish in Nottinghamshire, England, known for its rural setting and historic priory remains.
  • A. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • B. Wantagh
    Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
  • C. Henstead
    Henstead is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • D. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • E. Maincy
    Maincy is a commune in north-central France best known for encompassing the Château and Gardens of Vaux-le-Vicomte.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be68070bb0819095bda199cc966d31 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be691b34e08190bd5be1baa83f93b9 completed March 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69be697701748190a185878ee9ea483b completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:27 p.m.