Triple

T1656199
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake County E35804 entity
Predicate contains P35 FINISHED
Object Sandy
Sandy is a suburban city in the Salt Lake City metropolitan area of Utah, known for its residential communities and proximity to outdoor recreation in the nearby Wasatch Mountains.
 E187767 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: Sandy | Statement: [Salt Lake County, contains, Sandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandy
Context triple: [Salt Lake County, contains, Sandy]
  • A. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • B. Sandy
    Sandy is a fictional character from Mark Twain’s satirical novel "A Connecticut Yankee in King Arthur’s Court," known as a medieval woman who becomes the companion and later wife of the time-traveling protagonist.
  • C. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Dreezy
    Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
  • 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: Sandy
Triple: [Salt Lake County, contains, Sandy]
Generated description
Sandy is a suburban city in the Salt Lake City metropolitan area of Utah, known for its residential communities and proximity to outdoor recreation in the nearby Wasatch Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sandy
Target entity description: Sandy is a suburban city in the Salt Lake City metropolitan area of Utah, known for its residential communities and proximity to outdoor recreation in the nearby Wasatch Mountains.
  • A. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • B. Sandy
    Sandy is a fictional character from Mark Twain’s satirical novel "A Connecticut Yankee in King Arthur’s Court," known as a medieval woman who becomes the companion and later wife of the time-traveling protagonist.
  • C. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Dreezy
    Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb4535180819088e3bdaa591dcdbd completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6821d18c8190b411bb031c142580 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad68a9769081908a0748b8d02b8379 completed March 8, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_69ad692d61288190ad0c0265f49643ac completed March 8, 2026, 12:18 p.m.
Created at: March 4, 2026, 7:29 p.m.