Triple
T19142919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leyes Fundamentales del Reino |
E468601
|
entity |
| Predicate | númeroDeLeyes |
P12093
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Leyes Fundamentales del Reino, númeroDeLeyes, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: númeroDeLeyes Context triple: [Leyes Fundamentales del Reino, númeroDeLeyes, 7]
-
A.
numberOfLaws
chosen
Indicates the quantitative count of laws associated with a given entity or context.
-
B.
publicLawNumber
Indicates the specific public law identifier associated with a legislative act or statute.
-
C.
numberOfLegislatures
Indicates the total count of distinct legislatures associated with or relevant to a given entity.
-
D.
nationalLegislation
Indicates that an entity is a law or legal measure enacted at the national level by a country’s central legislative authority.
-
E.
introducedInLaws
Indicates that one entity caused another entity to meet or become acquainted with their in-laws.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e976e340819098efccc30b2eef0e |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.