Triple
T14495673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doce River |
E359489
|
entity |
| Predicate | associatedWithCompany |
P629
|
FINISHED |
| Object |
Vale S.A.
Vale S.A. is a major Brazilian multinational mining company and one of the world’s largest producers of iron ore and nickel.
|
E1103685
|
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: Vale S.A. | Statement: [Doce River, associatedWithCompany, Vale S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vale S.A. Context triple: [Doce River, associatedWithCompany, Vale S.A.]
-
A.
Gaviota S.A.
Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
-
B.
Total S.A.
Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
-
C.
Orange S.A.
Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
-
D.
Ricard SA
Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
-
E.
Patria Group
Patria Group is a Finnish defense, security, and aviation technology company known for developing and manufacturing military vehicles, systems, and related services.
- 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: Vale S.A. Triple: [Doce River, associatedWithCompany, Vale S.A.]
Generated description
Vale S.A. is a major Brazilian multinational mining company and one of the world’s largest producers of iron ore and nickel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vale S.A. Target entity description: Vale S.A. is a major Brazilian multinational mining company and one of the world’s largest producers of iron ore and nickel.
-
A.
Gaviota S.A.
Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
-
B.
Total S.A.
Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
-
C.
Orange S.A.
Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
-
D.
Ricard SA
Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
-
E.
Patria Group
Patria Group is a Finnish defense, security, and aviation technology company known for developing and manufacturing military vehicles, systems, and related services.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.