Triple

T12293931
Position Surface form Disambiguated ID Type / Status
Subject Admiral Sir John Jervis E293034 entity
Predicate parliamentaryConstituency P2710 FINISHED
Object Rochester E116344 NE FINISHED

How this triple was built (2 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: [Admiral Sir John Jervis, parliamentaryConstituency, Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochester
Context triple: [Admiral Sir John Jervis, parliamentaryConstituency, 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 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.
  • C. Rochester
    Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • D. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • E. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345c27508190bd2e9d466ebce73c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.