Triple

T6130102
Position Surface form Disambiguated ID Type / Status
Subject Putah Creek E136693 entity
Predicate hasReservoir P1025 FINISHED
Object Lake Berryessa E357204 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: Lake Berryessa | Statement: [Putah Creek, hasReservoir, Lake Berryessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Berryessa
Context triple: [Putah Creek, hasReservoir, Lake Berryessa]
  • A. Lake Berryessa chosen
    Lake Berryessa is a large man-made reservoir in Napa County, California, popular for boating, fishing, and outdoor recreation.
  • B. Merced Lake
    Merced Lake is a high-country lake in Yosemite National Park, known as a scenic backcountry destination along the Merced River and a popular stop for backpackers.
  • C. Lake Almanor
    Lake Almanor is a large, man-made reservoir in Northern California known for its scenic mountain setting and popular fishing, boating, and camping opportunities.
  • D. Lake Miwok
    Lake Miwok is an extinct Native American language formerly spoken by the Miwok people around Clear Lake in Northern California.
  • E. Calaveras Reservoir
    Calaveras Reservoir is a major water storage reservoir in California’s Diablo Range that supplies drinking water to the San Francisco Bay Area.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1416a4dd481908f1336fbd02c7af8 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.