Triple

T14621230
Position Surface form Disambiguated ID Type / Status
Subject Low Furness E343225 entity
Predicate containsSettlement P847 FINISHED
Object Stank
Stank is a small settlement in the Low Furness area of Cumbria, England.
E1111109 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: Stank | Statement: [Low Furness, containsSettlement, Stank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stank
Context triple: [Low Furness, containsSettlement, Stank]
  • A. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • B. Stans
    Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
  • C. Stans
    Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
  • D. Stalle
    Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
  • E. Stan the Man
    Stan the Man is the famous nickname of Stan Musial, the Hall of Fame St. Louis Cardinals outfielder and first baseman regarded as one of Major League Baseball’s greatest hitters.
  • 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: Stank
Triple: [Low Furness, containsSettlement, Stank]
Generated description
Stank is a small settlement in the Low Furness area of Cumbria, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stank
Target entity description: Stank is a small settlement in the Low Furness area of Cumbria, England.
  • A. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • B. Stans
    Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
  • C. Stans
    Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
  • D. Stalle
    Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
  • E. Stan the Man
    Stan the Man is the famous nickname of Stan Musial, the Hall of Fame St. Louis Cardinals outfielder and first baseman regarded as one of Major League Baseball’s greatest hitters.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92688a08190bb27434acc7c12e7 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb2994f2c8190960bd8a27e303cdb completed May 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69fdb40ee364819087c371fa1e25506c completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.