Triple

T19778010
Position Surface form Disambiguated ID Type / Status
Subject Black Creek Trail E475056 entity
Predicate hasNameOrigin P3325 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 Trail, hasNameOrigin, Black Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Creek
Context triple: [Black Creek Trail, hasNameOrigin, Black Creek]
  • A. 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.
  • B. Black Creek
    Black Creek is a smaller stream in New York State that serves as a right-bank tributary feeding into West Canada Creek.
  • C. Black Creek
    Black Creek is a waterway in northeastern South Carolina that flows near the city of Hartsville.
  • D. Black Creek chosen
    Black Creek is a tributary stream in the Greater Toronto Area that flows through urban and parkland environments before joining the Humber River.
  • E. Black Creek
    Black Creek is a stream in Alabama best known for flowing through Noccalula Falls Park and plunging over the scenic Noccalula Falls.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65361a8e08190b52944aab25e45fa completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.