Triple

T36656002
Position Surface form Disambiguated ID Type / Status
Subject Leslie Gonda E904989 entity
Predicate hasBuildingNamedAfter P49744 FINISHED
Object Gonda Building at Mayo Clinic
The Gonda Building at Mayo Clinic is a major clinical and research facility on Mayo’s Rochester, Minnesota campus, known for housing outpatient services, advanced medical technologies, and collaborative patient care spaces.
 E2193253 NE FINISHED

How this triple was built (3 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: Gonda Building at Mayo Clinic | Statement: [Leslie Gonda, hasBuildingNamedAfter, Gonda Building at Mayo Clinic]
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: Gonda Building at Mayo Clinic
Triple: [Leslie Gonda, hasBuildingNamedAfter, Gonda Building at Mayo Clinic]
Generated description
The Gonda Building at Mayo Clinic is a major clinical and research facility on Mayo’s Rochester, Minnesota campus, known for housing outpatient services, advanced medical technologies, and collaborative patient care spaces.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBuildingNamedAfter
Context triple: [Leslie Gonda, hasBuildingNamedAfter, Gonda Building at Mayo Clinic]
  • A. hasBuildingNamedAfterHim chosen
    Indicates that a person has a building that is named in their honor.
  • B. hasPlaceNamedAfter
    Indicates that one place is named in honor of or derived from the name of another place.
  • C. hasHeritageSiteNamedAfter
    Indicates that one entity has a heritage site that is named after another entity.
  • D. hasCapitalNamedAfter
    Indicates that one entity serves as the capital of another entity and that this capital is named after the other entity.
  • E. hasParkNamedAfter
    Indicates that one entity has a park that is named in honor of, or after, another entity.
  • F. None of above.

Provenance (6 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_69f76e6e3b908190970251b30f76ad71 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20cead00819094ef6393f7bd43d1 completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a21d045cc81908d61119fb621f7b6 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a225b99788190bafbd7ccb4a652b9 completed June 23, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
Created at: May 3, 2026, 4:11 p.m.