Triple

T19457830
Position Surface form Disambiguated ID Type / Status
Subject Finger Lakes Community College E486779 entity
Predicate city P40 FINISHED
Object Canandaigua NE NERFINISHED

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: Canandaigua | Statement: [Finger Lakes Community College, city, Canandaigua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canandaigua
Context triple: [Finger Lakes Community College, city, Canandaigua]
  • A. Canandaigua, New York chosen
    Canandaigua, New York is a small city in the Finger Lakes region known for its scenic Canandaigua Lake, historic downtown, and role as a regional tourism and wine destination.
  • B. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • C. Utica
    Utica is a small village in LaSalle County, Illinois, known as a gateway to the nearby Starved Rock State Park.
  • D. Utica
    Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
  • E. Oneonta
    Oneonta is a small city in central Alabama that serves as the county seat and primary population center of Blount County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c569a081908b5a71226345a929 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.