Triple
T31054220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan of State Transformation |
E791350
|
entity |
| Predicate | proposedLegalForm |
P179828
|
FINISHED |
| Object | constitutional monarchy |
—
|
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: constitutional monarchy | Statement: [Plan of State Transformation, proposedLegalForm, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedLegalForm Context triple: [Plan of State Transformation, proposedLegalForm, constitutional monarchy]
-
A.
typicalLegalForm
Indicates the standard or commonly used legal organizational form associated with an entity.
-
B.
previousLegalForm
Indicates the legal form or organizational status an entity had before its current legal form.
-
C.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
D.
countryLegalForm
Indicates the legal or organizational form that an entity has under the laws of a specific country.
-
E.
legalFormedAs
Indicates that an entity was established or constituted under a specific legal structure or organizational form.
- F. None of above. chosen
Provenance (4 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 29, 2026, 9 p.m.