Triple

T14933746
Position Surface form Disambiguated ID Type / Status
Subject Potters Bar E372335 entity
Predicate hasRailServiceTo P726 FINISHED
Object Rochester
Rochester is a historic cathedral city in Kent, England, known for its medieval castle, literary connections to Charles Dickens, and position on the River Medway.
E116344 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: [Potters Bar, hasRailServiceTo, Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochester
Context triple: [Potters Bar, hasRailServiceTo, Rochester]
  • A. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • 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 borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • 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 major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • 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: [Potters Bar, hasRailServiceTo, Rochester]
Generated description
Rochester is a historic cathedral city in Kent, England, known for its medieval castle, literary connections to Charles Dickens, and position on the River Medway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rochester
Target entity description: Rochester is a historic cathedral city in Kent, England, known for its medieval castle, literary connections to Charles Dickens, and position on the River Medway.
  • A. Rochester chosen
    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 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 historic town in southeastern Massachusetts known for its rural character and New England charm.
  • D. Rochester
    Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • E. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d39a0908190a27f7bbaee7a04ef completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff417598a881908d906b7315dea2d6 completed May 9, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_69ff41e95bf08190965a870acb72edb6 completed May 9, 2026, 2:17 p.m.
Created at: April 10, 2026, 2:37 a.m.