Triple
T8074234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itá Dam |
E188452
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
Tractebel Energia
Tractebel Energia is a Brazilian energy company that operates hydroelectric and other power generation assets across the country.
|
E166782
|
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: Tractebel Energia | Statement: [Itá Dam, operator, Tractebel Energia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tractebel Energia Context triple: [Itá Dam, operator, Tractebel Energia]
-
A.
Fortum
Fortum is a Finnish state-owned energy company that focuses on electricity generation, district heating, and related energy services across the Nordic and Baltic regions, Poland, and India.
-
B.
Tractebel
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
-
C.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
D.
Areva
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
-
E.
Endesa
Endesa is a major Spanish electric utility company and one of the leading energy providers in the Iberian Peninsula and Latin America.
- 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: Tractebel Energia Triple: [Itá Dam, operator, Tractebel Energia]
Generated description
Tractebel Energia is a Brazilian energy company that operates hydroelectric and other power generation assets across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tractebel Energia Target entity description: Tractebel Energia is a Brazilian energy company that operates hydroelectric and other power generation assets across the country.
-
A.
Fortum
Fortum is a Finnish state-owned energy company that focuses on electricity generation, district heating, and related energy services across the Nordic and Baltic regions, Poland, and India.
-
B.
Tractebel
chosen
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
-
C.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
D.
Areva
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
-
E.
Endesa
Endesa is a major Spanish electric utility company and one of the leading energy providers in the Iberian Peninsula and Latin America.
- F. None of above.
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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f000308190a55379f8bf67f0cd |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc68634dc88190bc9b9e0598929d4d |
completed | April 1, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6946aa5481908d682957b818a3e9 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:27 p.m.