Triple
T24633007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni Agnelli B.V. |
E609727
|
entity |
| Predicate | controlsThroughShareholding |
P14887
|
FINISHED |
| Object | Exor N.V. |
—
|
NE NERFINISHED |
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: Exor N.V. | Statement: [Giovanni Agnelli B.V., controlsThroughShareholding, Exor N.V.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsThroughShareholding Context triple: [Giovanni Agnelli B.V., controlsThroughShareholding, Exor N.V.]
-
A.
ownershipStructure
Indicates how ownership or control is distributed among entities within an organization or asset.
-
B.
hasShareholdersFrom
Indicates that an entity has shareholders who originate from or are associated with a specified country, region, or organization.
-
C.
effectOnShareholders
Indicates the impact or consequences that an action, event, or decision has on shareholders’ interests, value, or rights.
-
D.
sharesOwnershipStructureWith
Indicates that two entities have the same or closely aligned ownership structure, such as sharing the same owners, parent company, or control hierarchy.
-
E.
majorShareholderOf
chosen
Indicates that one entity owns a controlling or significantly large portion of another entity’s shares or equity.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.