Triple
T6248578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent River |
E139985
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Rawdon Creek
Rawdon Creek is a smaller watercourse in Ontario, Canada, that feeds into the Trent River as part of its watershed system.
|
E848499
|
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: Rawdon Creek | Statement: [Trent River, hasTributary, Rawdon Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawdon Creek Context triple: [Trent River, hasTributary, Rawdon Creek]
-
A.
Caledon Creek
Caledon Creek is a small watercourse in Ontario, Canada, that forms part of the Credit River watershed.
-
B.
Fairview Creek
Fairview Creek is a small waterway in the Portland metropolitan area of Oregon that flows through the city of Gresham and into Fairview Lake.
-
C.
Ruddiman Creek
Ruddiman Creek is a small tributary waterway in Michigan that flows into Muskegon Lake, contributing to the lake’s watershed and local ecosystem.
-
D.
Canaseraga Creek
Canaseraga Creek is a tributary stream in western New York State that flows through rural landscapes before joining the Genesee River.
-
E.
Humber Creek
Humber Creek is a small urban watercourse in Toronto, Ontario, that flows through residential and park areas before joining the Humber 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: Rawdon Creek Triple: [Trent River, hasTributary, Rawdon Creek]
Generated description
Rawdon Creek is a smaller watercourse in Ontario, Canada, that feeds into the Trent River as part of its watershed system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rawdon Creek Target entity description: Rawdon Creek is a smaller watercourse in Ontario, Canada, that feeds into the Trent River as part of its watershed system.
-
A.
Caledon Creek
Caledon Creek is a small watercourse in Ontario, Canada, that forms part of the Credit River watershed.
-
B.
Fairview Creek
Fairview Creek is a small waterway in the Portland metropolitan area of Oregon that flows through the city of Gresham and into Fairview Lake.
-
C.
Ruddiman Creek
Ruddiman Creek is a small tributary waterway in Michigan that flows into Muskegon Lake, contributing to the lake’s watershed and local ecosystem.
-
D.
Canaseraga Creek
Canaseraga Creek is a tributary stream in western New York State that flows through rural landscapes before joining the Genesee River.
-
E.
Humber Creek
Humber Creek is a small urban watercourse in Toronto, Ontario, that flows through residential and park areas before joining the Humber 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633a9a048190856d5247d3b28a2e |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d369226a28819088b14cbc4cb78e57 |
completed | April 6, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69d36a006da48190b98b325b7dc24caa |
completed | April 6, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d36a5343588190923c3fe62368cd0a |
completed | April 6, 2026, 8:09 a.m. |
Created at: March 22, 2026, 4:24 p.m.