Triple

T15894123
Position Surface form Disambiguated ID Type / Status
Subject San Mateo Creek E385405 entity
Predicate hasTributary P415 FINISHED
Object Berkeley Creek
Berkeley Creek is a small stream in California that serves as a tributary within the San Mateo Creek watershed.
E1576170 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: Berkeley Creek | Statement: [San Mateo Creek, hasTributary, Berkeley Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley Creek
Context triple: [San Mateo Creek, hasTributary, Berkeley Creek]
  • A. Goodell Creek
    Goodell Creek is a rugged, forested waterway in Washington’s North Cascades that serves as a primary approach route into the remote Picket Range.
  • B. Warren Creek
    Warren Creek is a stream in the Columbia River Gorge of Oregon that feeds several waterfalls, including the scenic Hole-in-the-Wall Falls.
  • C. Sawmill Creek
    Sawmill Creek is a smaller stream in Ontario, Canada, that feeds into the Trent River as part of its watershed.
  • D. 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.
  • E. Warrell Creek
    Warrell Creek is a small rural locality in the Nambucca Valley region of New South Wales, Australia.
  • 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: Berkeley Creek
Triple: [San Mateo Creek, hasTributary, Berkeley Creek]
Generated description
Berkeley Creek is a small stream in California that serves as a tributary within the San Mateo Creek watershed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berkeley Creek
Target entity description: Berkeley Creek is a small stream in California that serves as a tributary within the San Mateo Creek watershed.
  • A. Goodell Creek
    Goodell Creek is a rugged, forested waterway in Washington’s North Cascades that serves as a primary approach route into the remote Picket Range.
  • B. Warren Creek
    Warren Creek is a stream in the Columbia River Gorge of Oregon that feeds several waterfalls, including the scenic Hole-in-the-Wall Falls.
  • C. Sawmill Creek
    Sawmill Creek is a smaller stream in Ontario, Canada, that feeds into the Trent River as part of its watershed.
  • D. 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.
  • E. Warrell Creek
    Warrell Creek is a small rural locality in the Nambucca Valley region of New South Wales, Australia.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f2593e48190a2c23077d4917212 completed May 19, 2026, 10:44 a.m.
NEDg Description generation batch_6a0c4008c4a881908ad49e733b549036 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40bece448190bb9fd1a3058a1f06 completed May 19, 2026, 10:51 a.m.
Created at: April 10, 2026, 4:51 a.m.