Triple

T3029854
Position Surface form Disambiguated ID Type / Status
Subject Canadice Lake E82866 entity
Predicate drinkingWaterFor P4102 FINISHED
Object City of Rochester, New York E22338 NE FINISHED

How this triple was built (3 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: City of Rochester, New York | Statement: [Canadice Lake, drinkingWaterFor, City of Rochester, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Rochester, New York
Context triple: [Canadice Lake, drinkingWaterFor, City of Rochester, New York]
  • A. Rochester
    Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • B. 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.
  • C. Rochester chosen
    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 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drinkingWaterFor
Context triple: [Canadice Lake, drinkingWaterFor, City of Rochester, New York]
  • A. waterType
    Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
  • B. waterContains
    Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
  • C. waterSource chosen
    Indicates that one entity serves as the source or provider of water for another entity.
  • D. waterSourceType
    Indicates the kind or category of source from which water is obtained.
  • E. drinkingWaterStandard
    Indicates that something meets an established quality or safety standard for drinking water.
  • F. None of above.

Provenance (4 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aecd384819085d15f701add7c44 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb9c9548190b3d36803432b84f6 completed March 11, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69ad961e2a408190afb1759132701305 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:01 p.m.