Triple
T18917196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | provisional government of Carlos Manuel de Céspedes y Quesada |
E462751
|
entity |
| Predicate | natureOfRule |
P133790
|
FINISHED |
| Object | executive-centered |
—
|
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: executive-centered | Statement: [provisional government of Carlos Manuel de Céspedes y Quesada, natureOfRule, executive-centered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfRule Context triple: [provisional government of Carlos Manuel de Céspedes y Quesada, natureOfRule, executive-centered]
-
A.
legalRulingNature
Indicates the type or character of a legal ruling, such as its form, basis, or procedural nature.
-
B.
rulesBy
Indicates that one entity governs, controls, or exercises authoritative power over another entity.
-
C.
styleOfRule
Indicates the stylistic or formatting convention that a particular rule follows or is expressed in.
-
D.
typeOfRules
Indicates that one entity specifies or categorizes the kind or category of rules that apply to or are associated with another entity.
-
E.
isRuleGoverned
Indicates that an entity’s behavior, structure, or operation is determined and constrained by explicit rules or formal regulations.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62884988190a362ada1a0a47134 |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:58 a.m.