Triple
T16087450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrimonio Cultural de la Nación |
E390267
|
entity |
| Predicate | effectOfDeclaration |
P7953
|
FINISHED |
| Object | legal protection |
—
|
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: legal protection | Statement: [Patrimonio Cultural de la Nación, effectOfDeclaration, legal protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfDeclaration Context triple: [Patrimonio Cultural de la Nación, effectOfDeclaration, legal protection]
-
A.
effectOfDesignation
chosen
Indicates the causal impact or consequences that a particular designation or assigned status has on something.
-
B.
declared
Indicates that an entity formally announces, states, or proclaims something, often with official or authoritative intent.
-
C.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
-
D.
designationEffect
Indicates the effect, consequence, or outcome that results from assigning or designating something a particular status, role, or label.
-
E.
effectOnIssuance
Indicates how one factor or condition influences the issuance or granting of something (such as a document, license, or asset).
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.