Triple

T24512
Position Surface form Disambiguated ID Type / Status
Subject Kansas City, Missouri E488 entity
Predicate hasNickname P39 FINISHED
Object City of Fountains
City of Fountains is a popular nickname for Kansas City, Missouri, highlighting its abundance of decorative public fountains and water features.
E4491 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: City of Fountains | Statement: [Kansas City, Missouri, hasNickname, City of Fountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Fountains
Context triple: [Kansas City, Missouri, hasNickname, City of Fountains]
  • A. City of Trees
    City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
  • B. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • C. The Garden City
    The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
  • D. City of Light
    City of Light is a famous nickname for Paris, highlighting its historic role as a center of art, culture, and enlightenment.
  • E. Sather Gate
    Sather Gate is a historic Beaux-Arts style gateway and landmark entrance to the main campus of the University of California, Berkeley.
  • 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: City of Fountains
Triple: [Kansas City, Missouri, hasNickname, City of Fountains]
Generated description
City of Fountains is a popular nickname for Kansas City, Missouri, highlighting its abundance of decorative public fountains and water features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City of Fountains
Target entity description: City of Fountains is a popular nickname for Kansas City, Missouri, highlighting its abundance of decorative public fountains and water features.
  • A. City of Trees
    City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
  • B. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • C. The Garden City
    The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
  • D. City of Light
    City of Light is a famous nickname for Paris, highlighting its historic role as a center of art, culture, and enlightenment.
  • E. Sather Gate
    Sather Gate is a historic Beaux-Arts style gateway and landmark entrance to the main campus of the University of California, Berkeley.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552d92ec8190a523fb8d05b98bb2 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a255cc192c8190b2c0aa68ac97ad1f completed Feb. 28, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69a256a191bc8190a0cb3151ece43e13 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.