Triple

T7881274
Position Surface form Disambiguated ID Type / Status
Subject Tower Fall E182983 entity
Predicate hasWatercourse P165 FINISHED
Object Tower Creek
Tower Creek is a mountain stream in Yellowstone National Park that feeds the scenic Tower Fall before joining the Yellowstone River.
E697885 NE FINISHED

How this triple was built (4 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: Tower Creek | Statement: [Tower Fall, hasWatercourse, Tower Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tower Creek
Context triple: [Tower Fall, hasWatercourse, Tower Creek]
  • A. Rock Creek Canyon
    Rock Creek Canyon is a scenic glacially carved valley in California’s eastern Sierra Nevada, known for its alpine lakes, granite peaks, and popular hiking and fishing opportunities.
  • B. Castle Creek
    Castle Creek is a watercourse in Arizona that flows through the rugged Bradshaw Mountains region.
  • C. Rock Creek
    Rock Creek is a tributary stream of the Potomac River that flows through Washington, D.C. and Maryland, forming the scenic backbone of Rock Creek Park.
  • D. Rock Creek
    Rock Creek is a smaller stream in Nevada that feeds into the Humboldt River within the Great Basin watershed.
  • E. Walker Creek
    Walker Creek is a significant watercourse in California’s Mono Basin that contributes to the region’s hydrology and ecosystems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tower Creek
Triple: [Tower Fall, hasWatercourse, Tower Creek]
Generated description
Tower Creek is a mountain stream in Yellowstone National Park that feeds the scenic Tower Fall before joining the Yellowstone River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tower Creek
Target entity description: Tower Creek is a mountain stream in Yellowstone National Park that feeds the scenic Tower Fall before joining the Yellowstone River.
  • A. Rock Creek Canyon
    Rock Creek Canyon is a scenic glacially carved valley in California’s eastern Sierra Nevada, known for its alpine lakes, granite peaks, and popular hiking and fishing opportunities.
  • B. Castle Creek
    Castle Creek is a watercourse in Arizona that flows through the rugged Bradshaw Mountains region.
  • C. Rock Creek
    Rock Creek is a smaller stream in Nevada that feeds into the Humboldt River within the Great Basin watershed.
  • D. Rock Creek
    Rock Creek is a tributary stream of the Potomac River that flows through Washington, D.C. and Maryland, forming the scenic backbone of Rock Creek Park.
  • E. Walker Creek
    Walker Creek is a significant watercourse in California’s Mono Basin that contributes to the region’s hydrology and ecosystems.
  • F. None of above. chosen

Provenance (5 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39c14a188190a225ca3c7e515b0c completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b8c812481909663119a02f6d756 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb5f1daac88190a162132bbd40fdc6 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb768ac1a48190bc6a59a64adf7144 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:58 p.m.