Triple
T8080840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foz do Chapecó Dam |
E188610
|
entity |
| Predicate | sharesOwnedBy |
P3498
|
FINISHED |
| Object |
CEEE-GT
CEEE-GT is a Brazilian power generation company that holds an ownership stake in major hydroelectric projects such as the Foz do Chapecó Dam.
|
E710572
|
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: CEEE-GT | Statement: [Foz do Chapecó Dam, sharesOwnedBy, CEEE-GT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEEE-GT Context triple: [Foz do Chapecó Dam, sharesOwnedBy, CEEE-GT]
-
A.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
-
B.
CEC
CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
-
C.
CECS
CECS is the commonly used abbreviation for the College of Engineering and Computer Science, an academic division focused on engineering and computing disciplines.
-
D.
CCE
CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
-
E.
CGE
CGE is a French association that brings together the country’s leading grandes écoles, representing elite higher education and research institutions.
- 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: CEEE-GT Triple: [Foz do Chapecó Dam, sharesOwnedBy, CEEE-GT]
Generated description
CEEE-GT is a Brazilian power generation company that holds an ownership stake in major hydroelectric projects such as the Foz do Chapecó Dam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CEEE-GT Target entity description: CEEE-GT is a Brazilian power generation company that holds an ownership stake in major hydroelectric projects such as the Foz do Chapecó Dam.
-
A.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
-
B.
CEC
CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
-
C.
CECS
CECS is the commonly used abbreviation for the College of Engineering and Computer Science, an academic division focused on engineering and computing disciplines.
-
D.
CCE
CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
-
E.
CGE
CGE is a French association that brings together the country’s leading grandes écoles, representing elite higher education and research institutions.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a504d48190ace96e814d99b182 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63fba1148190b8d0f04faa5330a1 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.