Triple

T13847217
Position Surface form Disambiguated ID Type / Status
Subject Kenai River E332838 entity
Predicate flowsThrough P225 FINISHED
Object Sterling E968793 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: Sterling | Statement: [Kenai River, flowsThrough, Sterling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterling
Context triple: [Kenai River, flowsThrough, Sterling]
  • A. Sterling
    Sterling is a suburban community in Loudoun County, Northern Virginia, known for its residential neighborhoods, proximity to Washington Dulles International Airport, and role as part of the greater Washington, D.C. metropolitan area.
  • B. Sterling
    Sterling is a surname of English origin borne by various notable individuals, including actress and author Sara Shane.
  • C. Sterling
    Sterling is a masculine given name of English origin, often associated with qualities of high value or excellence.
  • D. Sterling
    Sterling is a city in northern Illinois known as a regional industrial and commercial center along the Rock River.
  • E. Sterling chosen
    Sterling is a small unincorporated community on Alaska’s Kenai Peninsula known for its access to outdoor recreation and salmon fishing on the Kenai River.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.