Triple
T4801122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Sucesión en la Jefatura del Estado |
E106832
|
entity |
| Predicate | tipoDeNorma |
P2826
|
FINISHED |
| Object | ley cuasi-constitucional |
—
|
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: ley cuasi-constitucional | Statement: [Ley de Sucesión en la Jefatura del Estado, tipoDeNorma, ley cuasi-constitucional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeNorma Context triple: [Ley de Sucesión en la Jefatura del Estado, tipoDeNorma, ley cuasi-constitucional]
-
A.
legalStandardType
Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
-
B.
normativeFor
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
C.
normType
chosen
Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
-
D.
standardsType
Indicates the classification or category of standards that apply to or are associated with an entity or activity.
-
E.
typeOfLegislation
Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.