Triple

T6778850
Position Surface form Disambiguated ID Type / Status
Subject Mayo Civic Center E155626 entity
Predicate city P40 FINISHED
Object Rochester
Rochester is a city in southeastern Minnesota best known as the home of the Mayo Clinic, a world-renowned medical and research institution.
 E263312 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: Rochester | Statement: [Mayo Civic Center, city, Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochester
Context triple: [Mayo Civic Center, city, Rochester]
  • A. Rochester
    Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
  • B. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • C. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • D. Rochester
    Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • E. Rochester
    Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • 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: Rochester
Triple: [Mayo Civic Center, city, Rochester]
Generated description
Rochester is a city in southeastern Minnesota best known as the home of the Mayo Clinic, a world-renowned medical and research institution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochester
Target entity description: Rochester is a city in southeastern Minnesota best known as the home of the Mayo Clinic, a world-renowned medical and research institution.
  • A. Rochester chosen
    Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • B. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • C. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • D. Rochester
    Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • E. Rochester
    Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
  • F. None of above.

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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26a1634819099b8a3b3196a306a completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa57aa9c819081d4ec62bf18d971 completed March 28, 2026, 3:57 p.m.
NEDg Description generation batch_69c7fbafa2a08190bcfc407d1a6c0d2b completed March 28, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc14691481909d8d029c5c42cd14 completed March 28, 2026, 4:04 p.m.
Created at: March 27, 2026, 2:14 p.m.