Triple
T16313103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prodeco Group |
E396105
|
entity |
| Predicate | formerTypeOfOwnership |
P16344
|
FINISHED |
| Object | wholly owned subsidiary of Glencore |
—
|
LITERAL FINISHED |
How this triple was built (2 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: wholly owned subsidiary of Glencore | Statement: [Prodeco Group, formerTypeOfOwnership, wholly owned subsidiary of Glencore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerTypeOfOwnership Context triple: [Prodeco Group, formerTypeOfOwnership, wholly owned subsidiary of Glencore]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
formerType
chosen
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
C.
formerPartOwnerOf
Indicates that an entity previously held, but no longer holds, a partial ownership stake in another entity.
-
D.
previousLegalForm
Indicates the legal form or organizational status an entity had before its current legal form.
-
E.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
- F. None of above.
Provenance (3 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dc30f48190b508220429b66e92 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.