Triple

T19939208
Position Surface form Disambiguated ID Type / Status
Subject Interstate 678 E479258 entity
Predicate passesOver P416 FINISHED
Object East 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: East River | Statement: [Interstate 678, passesOver, East River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East River
Context triple: [Interstate 678, passesOver, East River]
  • A. East River chosen
    The East River is a tidal strait in New York City that separates Manhattan from Brooklyn and Queens and serves as a major waterway spanned by several iconic bridges.
  • B. East River
    The East River is a tributary waterway in the Appalachian region of the United States that flows through southern West Virginia and into Virginia.
  • C. East River
    The East River is a mountain river in Gunnison County, Colorado, that flows through the Elk Mountains and joins the Taylor River to form the Gunnison River.
  • D. East River
    East River is a rural locality within Western Australia’s Shire of Ravensthorpe, characterized by its agricultural landscape and proximity to natural bushland.
  • E. East River
    East River is a tributary of the Fox River in northeastern Wisconsin, flowing through Brown and Calumet counties before emptying into Green Bay.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a19d77c819088bce99c94568d0d completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.