Triple
T19286755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madawaska River |
E482332
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Madawaska Dam
Madawaska Dam is a hydroelectric dam in Ontario, Canada, that harnesses the flow of the Madawaska River to generate power and regulate water levels.
|
E1523885
|
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: Madawaska Dam | Statement: [Madawaska River, hasDam, Madawaska Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madawaska Dam Context triple: [Madawaska River, hasDam, Madawaska Dam]
-
A.
Tobique Narrows Dam
Tobique Narrows Dam is a hydroelectric power-generating dam located on the Tobique River in New Brunswick, Canada.
-
B.
Lajoie Dam
Lajoie Dam is a hydroelectric dam on British Columbia’s Bridge River that forms part of the Bridge River Power Project.
-
C.
Madison Dam
Madison Dam is a hydroelectric dam on the Madison River in Montana, used for power generation and water management.
-
D.
Lewiston Dam
Lewiston Dam is a concrete structure on the Trinity River in Northern California that forms Lewiston Lake and helps regulate water storage and diversion within the Trinity River Basin.
-
E.
Hoist Dam
Hoist Dam is a hydroelectric dam on Michigan’s Dead River that helps generate power and regulate water flow in the region.
- 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: Madawaska Dam Triple: [Madawaska River, hasDam, Madawaska Dam]
Generated description
Madawaska Dam is a hydroelectric dam in Ontario, Canada, that harnesses the flow of the Madawaska River to generate power and regulate water levels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madawaska Dam Target entity description: Madawaska Dam is a hydroelectric dam in Ontario, Canada, that harnesses the flow of the Madawaska River to generate power and regulate water levels.
-
A.
Tobique Narrows Dam
Tobique Narrows Dam is a hydroelectric power-generating dam located on the Tobique River in New Brunswick, Canada.
-
B.
Lajoie Dam
Lajoie Dam is a hydroelectric dam on British Columbia’s Bridge River that forms part of the Bridge River Power Project.
-
C.
Madison Dam
Madison Dam is a hydroelectric dam on the Madison River in Montana, used for power generation and water management.
-
D.
Lewiston Dam
Lewiston Dam is a concrete structure on the Trinity River in Northern California that forms Lewiston Lake and helps regulate water storage and diversion within the Trinity River Basin.
-
E.
Hoist Dam
Hoist Dam is a hydroelectric dam on Michigan’s Dead River that helps generate power and regulate water flow in the region.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc024a7081909a25d7cc4e048f79 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa5f6d594819090eb308f6c8e969c |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6682a508190b3d3b6ffbb10e3c5 |
completed | May 18, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa6d69a2c81908cb731690f417345 |
completed | May 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 1:30 p.m.