Triple
T26375068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prins van Waterloo |
E660875
|
entity |
| Predicate | countryOfGrant |
P118930
|
FINISHED |
| Object | United Kingdom of the Netherlands |
—
|
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: United Kingdom of the Netherlands | Statement: [Prins van Waterloo, countryOfGrant, United Kingdom of the Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfGrant Context triple: [Prins van Waterloo, countryOfGrant, United Kingdom of the Netherlands]
-
A.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
B.
countryOfPatronage
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
C.
countryOf
chosen
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
D.
countryOfApproval
Indicates that an item, action, or status has been officially approved or authorized by a particular country.
-
E.
countryOfClaim
Indicates the country in which a claim (such as legal, insurance, or patent claim) is formally filed or asserted.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 26, 2026, 11 p.m.