Triple
T4801099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Sucesión en la Jefatura del Estado |
E106832
|
entity |
| Predicate | númeroDeLeyesFundamentales |
P12093
|
FINISHED |
| Object | una de las ocho Leyes Fundamentales del franquismo |
—
|
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: una de las ocho Leyes Fundamentales del franquismo | Statement: [Ley de Sucesión en la Jefatura del Estado, númeroDeLeyesFundamentales, una de las ocho Leyes Fundamentales del franquismo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: númeroDeLeyesFundamentales Context triple: [Ley de Sucesión en la Jefatura del Estado, númeroDeLeyesFundamentales, una de las ocho Leyes Fundamentales del franquismo]
-
A.
numberOfLaws
chosen
Indicates the quantitative count of laws associated with a given entity or context.
-
B.
principlesCount
Indicates the number of principles associated with or applicable to a given entity or context.
-
C.
publicLawNumber
Indicates the specific public law identifier associated with a legislative act or statute.
-
D.
numberOfPropositions
Indicates the total count of distinct propositions associated with or contained within a given entity or context.
-
E.
numberOfCommandments
Indicates the total count of commandments associated with a given subject.
- 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.