Triple

T15560371
Position Surface form Disambiguated ID Type / Status
Subject Natural Bridge State Park E370980 entity
Predicate hasWatercourse P165 FINISHED
Object Cedar 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: Cedar Creek | Statement: [Natural Bridge State Park, hasWatercourse, Cedar Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Creek
Context triple: [Natural Bridge State Park, hasWatercourse, Cedar Creek]
  • A. Cedar Creek
    Cedar Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
  • B. Cedar Creek chosen
    Cedar Creek is a stream in Virginia best known for flowing beneath the famous Natural Bridge rock formation.
  • C. Cedar Creek
    Cedar Creek is a tributary stream in San Diego County, California, known for feeding into the San Diego River and for nearby natural features like Cedar Creek Falls.
  • D. Cedar Creek
    Cedar Creek is a winding waterway in South Carolina that flows through the old-growth floodplain forests of Congaree National Park, supporting rich biodiversity and popular paddling routes.
  • E. Yule Creek
    Yule Creek is a stream whose name is commemorated in the surrounding Yule Creek Valley.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
Created at: April 10, 2026, 4:09 a.m.