Triple
T15432229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Enjuiciamiento Civil |
E369667
|
entity |
| Predicate | esNormaBásicaDe |
P12028
|
FINISHED |
| Object | proceso civil en España |
—
|
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: proceso civil en España | Statement: [Ley de Enjuiciamiento Civil, esNormaBásicaDe, proceso civil en España]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: esNormaBásicaDe Context triple: [Ley de Enjuiciamiento Civil, esNormaBásicaDe, proceso civil en España]
-
A.
normativeFor
chosen
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
B.
hasNorm
Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
-
C.
baseStandard
Indicates that one entity serves as the foundational or reference standard upon which another entity is defined, measured, or evaluated.
-
D.
normIs
Indicates that something conforms to, or is characterized by, a particular standard, rule, or norm.
-
E.
isNormalIn
Indicates that one group is a normal subgroup of another group, meaning it is invariant under conjugation by elements of the larger group.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.