Triple

T10460866
Position Surface form Disambiguated ID Type / Status
Subject Lake Springfield E246669 entity
Predicate watercourse P415 FINISHED
Object Sugar Creek
Sugar Creek is a stream in Illinois that serves as the primary tributary feeding Lake Springfield.
 E865053 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: Sugar Creek | Statement: [Lake Springfield, watercourse, Sugar Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sugar Creek
Context triple: [Lake Springfield, watercourse, Sugar Creek]
  • A. Sugar Creek
    Sugar Creek is a small city in Jackson County, Missouri, located near Kansas City and known for its historic ties to the oil refinery industry and the Missouri River.
  • B. Warm Creek
    Warm Creek is a watercourse in Southern California that flows through the San Bernardino Valley.
  • C. Riverbend
    Riverbend is a New Orleans neighborhood area known for its riverfront location, historic charm, and lively mix of restaurants, bars, and shops.
  • D. Riverbend
    Riverbend is a major painting series by Australian artist Sidney Nolan, known for its panoramic depictions of the Australian landscape and exploration of national identity.
  • E. Blue Prairie
    "Blue Prairie" is a classic Western song popularized by the Sons of the Pioneers, known for its evocative harmonies and nostalgic frontier imagery.
  • 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: Sugar Creek
Triple: [Lake Springfield, watercourse, Sugar Creek]
Generated description
Sugar Creek is a stream in Illinois that serves as the primary tributary feeding Lake Springfield.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sugar Creek
Target entity description: Sugar Creek is a stream in Illinois that serves as the primary tributary feeding Lake Springfield.
  • A. Sugar Creek
    Sugar Creek is a small city in Jackson County, Missouri, located near Kansas City and known for its historic ties to the oil refinery industry and the Missouri River.
  • B. Warm Creek
    Warm Creek is a watercourse in Southern California that flows through the San Bernardino Valley.
  • C. Riverbend
    Riverbend is a New Orleans neighborhood area known for its riverfront location, historic charm, and lively mix of restaurants, bars, and shops.
  • D. Riverbend
    Riverbend is a major painting series by Australian artist Sidney Nolan, known for its panoramic depictions of the Australian landscape and exploration of national identity.
  • E. Blue Prairie
    "Blue Prairie" is a classic Western song popularized by the Sons of the Pioneers, known for its evocative harmonies and nostalgic frontier imagery.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50883b62c819082711b8c9fd968e3 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fcc84b48190a39de0d9b9111ebd completed April 10, 2026, 6:59 a.m.
NEDg Description generation batch_69d8a1656b348190ba932d03402d6a4d completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2b82bb48190899f37a967fef444 completed April 10, 2026, 7:11 a.m.
Created at: April 6, 2026, 12:19 p.m.