Triple
T5272164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French royal academies |
E119284
|
entity |
| Predicate | administrativeModel |
P32450
|
FINISHED |
| Object | centralized royal control |
—
|
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: centralized royal control | Statement: [French royal academies, administrativeModel, centralized royal control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeModel Context triple: [French royal academies, administrativeModel, centralized royal control]
-
A.
administrativeFeature
chosen
Indicates that one entity serves as an administrative or governance-related feature, function, or attribute associated with another entity.
-
B.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
C.
administrativeNumber
Indicates that an entity is associated with a specific official identification or reference number used for administrative purposes.
-
D.
administrativelyIn
Indicates that one entity is located within or belongs to the jurisdiction or governance area of another entity for administrative purposes.
-
E.
administeredAs
Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.