Triple
T30278081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidroituango |
E770009
|
entity |
| Predicate | constructionCompanies |
P63332
|
FINISHED |
| Object |
Camargo Corrêa
Camargo Corrêa is a major Brazilian conglomerate best known for its large-scale construction and engineering projects in Latin America and beyond.
|
E1908123
|
NE FINISHED |
How this triple was built (3 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: Camargo Corrêa | Statement: [Hidroituango, constructionCompanies, Camargo Corrêa]
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: Camargo Corrêa Triple: [Hidroituango, constructionCompanies, Camargo Corrêa]
Generated description
Camargo Corrêa is a major Brazilian conglomerate best known for its large-scale construction and engineering projects in Latin America and beyond.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCompanies Context triple: [Hidroituango, constructionCompanies, Camargo Corrêa]
-
A.
constructionCompany
chosen
Indicates a relationship where an entity functions as a company engaged in construction-related activities or services for another entity or project.
-
B.
constructionConsortium
Indicates a collaborative partnership formed between multiple parties to jointly undertake and manage a construction project or set of construction activities.
-
C.
constructionCompanyOrigin
Indicates that a construction company originates from, or is based in, a particular geographic location or jurisdiction.
-
D.
industrySectorOfBuilder
Indicates the industry sector in which a given builder (such as a company or organization that constructs or develops something) operates.
-
E.
publicCompany
Indicates that a company is publicly traded, meaning its ownership shares are available to the general public on one or more stock exchanges.
- F. None of above.
Provenance (6 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a276efa89bc819092f1f25dbf7d15fd |
completed | June 9, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_6a277100aec88190a76cb557ee344e29 |
completed | June 9, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a277181f69881908d6875221a8386e8 |
completed | June 9, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 7:44 p.m.