Triple

T21394183
Position Surface form Disambiguated ID Type / Status
Subject City of Saint Paul E527735 entity
Predicate hasPark P105 FINISHED
Object Como Park
Como Park is a large historic urban park in Saint Paul, Minnesota, known for its zoo, conservatory, lake, and extensive recreational facilities.
E1482609 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: Como Park | Statement: [City of Saint Paul, hasPark, Como Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Como Park
Context triple: [City of Saint Paul, hasPark, Como Park]
  • A. Town of Speed
    Town of Speed is a small incorporated town located in Edgecombe County, North Carolina, United States.
  • B. Racers
    The Racers are the athletic teams representing Murray State University in intercollegiate sports.
  • C. Racers
    Racers was a professional ice hockey team based in Indianapolis that competed in the World Hockey Association during the 1970s.
  • D. La Rampa
    La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
  • E. The Jet Set
    The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
  • 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: Como Park
Triple: [City of Saint Paul, hasPark, Como Park]
Generated description
Como Park is a large historic urban park in Saint Paul, Minnesota, known for its zoo, conservatory, lake, and extensive recreational facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Como Park
Target entity description: Como Park is a large historic urban park in Saint Paul, Minnesota, known for its zoo, conservatory, lake, and extensive recreational facilities.
  • A. Town of Speed
    Town of Speed is a small incorporated town located in Edgecombe County, North Carolina, United States.
  • B. Racers
    The Racers are the athletic teams representing Murray State University in intercollegiate sports.
  • C. Racers
    Racers was a professional ice hockey team based in Indianapolis that competed in the World Hockey Association during the 1970s.
  • D. La Rampa
    La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
  • E. The Jet Set
    The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4a9390819093f0ce34f96420ce completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.