Triple
T5174401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruggeller Riet |
E116760
|
entity |
| Predicate | hasProtectionGoal |
P8850
|
FINISHED |
| Object | conservation of wetland habitats |
—
|
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: conservation of wetland habitats | Statement: [Ruggeller Riet, hasProtectionGoal, conservation of wetland habitats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectionGoal Context triple: [Ruggeller Riet, hasProtectionGoal, conservation of wetland habitats]
-
A.
protectionObjective
chosen
Indicates that one entity has the goal or purpose of safeguarding, defending, or preserving another entity or its interests.
-
B.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
-
C.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
D.
isProtectedFor
Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
-
E.
aimsToProtect
Indicates an intention or purpose to safeguard or defend one entity, value, or condition from harm, risk, or undesirable outcomes.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7971284481909e6d07b2368a4f76 |
completed | March 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.