Triple
T3423239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna San Rafael |
E72161
|
entity |
| Predicate | hasProtectionDesignation |
P3788
|
FINISHED |
| Object | Ramsar wetland site |
—
|
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: Ramsar wetland site | Statement: [Laguna San Rafael, hasProtectionDesignation, Ramsar wetland site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectionDesignation Context triple: [Laguna San Rafael, hasProtectionDesignation, Ramsar wetland site]
-
A.
hasCriticalDesignation
Indicates that an entity has been assigned a status or label marking it as critical in importance, priority, or required attention.
-
B.
protectedDesignation
Indicates that one entity has an officially recognized and legally protected designation or status in relation to another entity.
-
C.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
-
D.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
-
E.
hasNatureDesignation
chosen
Indicates that something has been formally assigned a specific conservation, protection, or natural-area status or designation.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9533b588190a18a9b6495712ee0 |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.