Triple
T14207989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Salto |
E352150
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
Salto Dam
Salto Dam is a hydroelectric and water-regulation structure in Italy that impounds Lake Salto, one of the country’s largest artificial lakes.
|
E1094883
|
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: Salto Dam | Statement: [Lake Salto, createdBy, Salto Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salto Dam Context triple: [Lake Salto, createdBy, Salto Dam]
-
A.
Salto Grande Dam
Salto Grande Dam is a large hydroelectric dam and binational power station on the Uruguay River, jointly operated by Argentina and Uruguay.
-
B.
Rapel Dam
Rapel Dam is a major hydroelectric and irrigation dam in central Chile that forms the Rapel Reservoir on the Rapel River.
-
C.
Itumbiara Dam
Itumbiara Dam is a large hydroelectric dam in Brazil known for generating significant electricity and forming one of the country’s major artificial reservoirs.
-
D.
Daivões Dam
Daivões Dam is a hydroelectric dam located on Portugal’s Tâmega River, forming part of the Tâmega electroproduction system.
-
E.
Polyphyto Dam
Polyphyto Dam is a major hydroelectric and water management dam in northern Greece, forming Lake Polyphyto on the Aliakmonas 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: Salto Dam Triple: [Lake Salto, createdBy, Salto Dam]
Generated description
Salto Dam is a hydroelectric and water-regulation structure in Italy that impounds Lake Salto, one of the country’s largest artificial lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salto Dam Target entity description: Salto Dam is a hydroelectric and water-regulation structure in Italy that impounds Lake Salto, one of the country’s largest artificial lakes.
-
A.
Salto Grande Dam
Salto Grande Dam is a large hydroelectric dam and binational power station on the Uruguay River, jointly operated by Argentina and Uruguay.
-
B.
Rapel Dam
Rapel Dam is a major hydroelectric and irrigation dam in central Chile that forms the Rapel Reservoir on the Rapel River.
-
C.
Itumbiara Dam
Itumbiara Dam is a large hydroelectric dam in Brazil known for generating significant electricity and forming one of the country’s major artificial reservoirs.
-
D.
Daivões Dam
Daivões Dam is a hydroelectric dam located on Portugal’s Tâmega River, forming part of the Tâmega electroproduction system.
-
E.
Polyphyto Dam
Polyphyto Dam is a major hydroelectric and water management dam in northern Greece, forming Lake Polyphyto on the Aliakmonas 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c29b4e08190896ddde5096628d3 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4d7b9f2c8190ae8367a999a5b0a3 |
completed | May 8, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4ddc860881908b8e07c4e3defeaa |
completed | May 8, 2026, 2:43 a.m. |
Created at: April 10, 2026, 1:05 a.m.