Triple

T5305915
Position Surface form Disambiguated ID Type / Status
Subject Nathaniel Rochester E120102 entity
Predicate familyName P18 FINISHED
Object Rochester
Rochester is a city in western New York State known for its industrial history, universities, and role in social reform movements.
 E22338 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: [Nathaniel Rochester, familyName, Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochester
Context triple: [Nathaniel Rochester, familyName, 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 borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • C. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • D. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • 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: [Nathaniel Rochester, familyName, Rochester]
Generated description
Rochester is a city in western New York State known for its industrial history, universities, and role in social reform movements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochester
Target entity description: Rochester is a city in western New York State known for its industrial history, universities, and role in social reform movements.
  • A. Rochester chosen
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • B. Rochester
    Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851dd0d081909c0bf1423278ad8a completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb1324c2c8190ba2a1c5708ba88e5 completed March 22, 2026, 9:06 a.m.
NEDg Description generation batch_69bfb3ee90b88190824cb38352d3bd14 completed March 22, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_69bfb566298c8190b8db9cdb7a7c13fc completed March 22, 2026, 9:24 a.m.
Created at: March 20, 2026, 1:53 p.m.