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.