Triple

T8726273
Position Surface form Disambiguated ID Type / Status
Subject Chatham Main Line E207138 entity
Predicate passesThrough P225 FINISHED
Object Rochester
Rochester is a historic cathedral city in Kent, England, known for its medieval architecture and strong associations with the novelist Charles Dickens.
 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: [Chatham Main Line, passesThrough, Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochester
Context triple: [Chatham Main Line, passesThrough, Rochester]
  • A. Rochester
    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 small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • C. Rochester
    Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • D. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • E. Rochester
    Rochester is a fictional English surname most famously borne by Mr. Edward Rochester, the brooding Byronic hero in Charlotte Brontë’s novel "Jane Eyre."
  • 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: [Chatham Main Line, passesThrough, Rochester]
Generated description
Rochester is a historic cathedral city in Kent, England, known for its medieval architecture and strong associations with the novelist Charles Dickens.
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 architecture and strong associations with the novelist Charles Dickens.
  • 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 fictional English surname most famously borne by Mr. Edward Rochester, the brooding Byronic hero in Charlotte Brontë’s novel "Jane Eyre."
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d158b0481908249610458f97306 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42b0f5808190863a1ca3c4e9c8d1 completed April 3, 2026, 4:31 a.m.
NEDg Description generation batch_69cf43bd0f8c8190be2f7dc86f1e76e1 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf444c9cb08190a37f34faa4a3458d completed April 3, 2026, 4:38 a.m.
Created at: March 30, 2026, 6:36 p.m.