Triple

T18122113
Position Surface form Disambiguated ID Type / Status
Subject Black Creek (Monroe County) E433764 entity
Predicate hasName P744 FINISHED
Object Black Creek 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: Black Creek | Statement: [Black Creek (Monroe County), hasName, Black Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Creek
Context triple: [Black Creek (Monroe County), hasName, Black Creek]
  • A. Black Creek
    Black Creek is a tributary stream in the Greater Toronto Area that flows through urban and parkland environments before joining the Humber River.
  • B. Black Creek
    Black Creek is a waterway in northeastern Florida that feeds into the St. Johns River and is known for its dark, tannin-rich waters and surrounding wetlands.
  • C. Black Creek chosen
    Black Creek is a smaller stream in New York State that serves as a right-bank tributary feeding into West Canada Creek.
  • D. Black Creek
    Black Creek is a waterway in northeastern South Carolina that flows near the city of Hartsville.
  • E. Black Creek
    Black Creek is a small rural community in British Columbia, Canada, situated in the Comox Valley region on Vancouver Island.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddeb2d7881909326cb9d2f5e2fb5 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.