Triple

T17789232
Position Surface form Disambiguated ID Type / Status
Subject Río Seco E444108 entity
Predicate nameMeaning P453 FINISHED
Object Dry River 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: Dry River | Statement: [Río Seco, nameMeaning, Dry River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dry River
Context triple: [Río Seco, nameMeaning, Dry River]
  • A. Dry River chosen
    Dry River is a remote mountain stream in New Hampshire’s White Mountains, known for its rugged backcountry setting and challenging hiking terrain.
  • B. Tonto River
    The Tonto River is a significant waterway in Mexico that feeds into the Papaloapan River system, contributing to one of the country’s major river basins.
  • C. Dry Creek
    Dry Creek is a stream in Sonoma County, California, that lends its name to the surrounding Dry Creek Valley wine region.
  • D. Dry Creek
    Dry Creek is a smaller stream in Saskatchewan, Canada, that feeds into the Moose Jaw River as part of its watershed.
  • E. Winchuck River
    The Winchuck River is a coastal stream in southwestern Oregon that flows through forested terrain before emptying into the Pacific Ocean near the California border.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4879524bc819090855ab5248c73db completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.