Triple

T881534
Position Surface form Disambiguated ID Type / Status
Subject Tompkins County E19035 entity
Predicate hasLakeShore P1025 FINISHED
Object Cayuga Lake E61402 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: Cayuga Lake | Statement: [Tompkins County, hasLakeShore, Cayuga Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cayuga Lake
Context triple: [Tompkins County, hasLakeShore, Cayuga Lake]
  • A. Cayuga Lake chosen
    Cayuga Lake is the longest of New York State’s Finger Lakes, known for its scenic beauty, wineries, and role as a regional recreational and ecological hub.
  • B. Canandaigua Lake
    Canandaigua Lake is one of New York State’s scenic Finger Lakes, known for its clear waters, wineries, and lakeside recreation.
  • C. Cayuga
    The Cayuga are one of the original member nations of the Haudenosaunee (Iroquois) Confederacy, historically located in what is now central New York.
  • D. Owasco Lake
    Owasco Lake is one of New York State’s Finger Lakes, known for its clear waters, scenic surroundings, and recreational activities like boating and fishing.
  • E. Otisco Lake
    Otisco Lake is one of New York State’s Finger Lakes, known for its scenic beauty, recreational opportunities, and role as a regional water resource.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accc863c8190be9e5350732c30b1 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac660a86d881908ae96a5492c9b9a2 completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:39 p.m.