Triple
T1338286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nederlandse Spoorwegen |
E28405
|
entity |
| Predicate | stockOwnership |
P7881
|
FINISHED |
| Object | wholly owned by the Dutch government |
—
|
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 by the Dutch government | Statement: [Nederlandse Spoorwegen, stockOwnership, wholly owned by the Dutch government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stockOwnership Context triple: [Nederlandse Spoorwegen, stockOwnership, wholly owned by the Dutch government]
-
A.
ownershipStructure
chosen
Indicates how ownership or control is distributed among entities within an organization or asset.
-
B.
sharesHeldBy
Indicates that a specified number or portion of shares is owned or held by a particular entity.
-
C.
privateShareOfStock
Indicates that one entity privately transfers or allocates shares of stock to another entity, outside of a public market transaction.
-
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.
sharesSymbol
Indicates that two entities use or are associated with the same identifying symbol (such as a ticker, code, or notation).
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.