Triple

T7383679
Position Surface form Disambiguated ID Type / Status
Subject San Diego River E170325 entity
Predicate hasTributary P415 FINISHED
Object Forester Creek
Forester Creek is a tributary stream in San Diego County, California, that feeds into the San Diego River within the region’s coastal watershed system.
 E931936 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: Forester Creek | Statement: [San Diego River, hasTributary, Forester Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forester Creek
Context triple: [San Diego River, hasTributary, Forester Creek]
  • A. Sawmill Creek
    Sawmill Creek is a smaller stream in Ontario, Canada, that feeds into the Trent River as part of its watershed.
  • B. Rapid Creek
    Rapid Creek is a stream in western South Dakota that flows through Rapid City and gave the city its name.
  • C. Rapid Creek
    Rapid Creek is a smaller stream in eastern Iowa that feeds into the Iowa River and drains parts of Johnson County.
  • D. Trapper Creek
    Trapper Creek is a small rural community in Alaska known as a gateway to Denali State Park and a base for outdoor recreation such as hunting, fishing, and snowmachining.
  • E. Swanson Creek
    Swanson Creek is a small waterway in Maryland that serves as a tributary feeding into the Patuxent River.
  • 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: Forester Creek
Triple: [San Diego River, hasTributary, Forester Creek]
Generated description
Forester Creek is a tributary stream in San Diego County, California, that feeds into the San Diego River within the region’s coastal watershed system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Forester Creek
Target entity description: Forester Creek is a tributary stream in San Diego County, California, that feeds into the San Diego River within the region’s coastal watershed system.
  • A. Sawmill Creek
    Sawmill Creek is a smaller stream in Ontario, Canada, that feeds into the Trent River as part of its watershed.
  • B. Rapid Creek
    Rapid Creek is a stream in western South Dakota that flows through Rapid City and gave the city its name.
  • C. Rapid Creek
    Rapid Creek is a smaller stream in eastern Iowa that feeds into the Iowa River and drains parts of Johnson County.
  • D. Trapper Creek
    Trapper Creek is a small rural community in Alaska known as a gateway to Denali State Park and a base for outdoor recreation such as hunting, fishing, and snowmachining.
  • E. Swanson Creek
    Swanson Creek is a small waterway in Maryland that serves as a tributary feeding into the Patuxent River.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1cb0b8881908132383c0efb0503 completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6847ad9fc819085b0d6c886488c3b completed April 20, 2026, 7:54 p.m.
NEDg Description generation batch_69e68ce8d7988190a0dd3abe5f2afc97 completed April 20, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: March 27, 2026, 3:08 p.m.