Triple
T2099025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenuta di Castelporziano |
E37049
|
entity |
| Predicate | hasProtectionObjective |
P8850
|
FINISHED |
| Object | conservation of Mediterranean 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 Mediterranean habitats | Statement: [Tenuta di Castelporziano, hasProtectionObjective, conservation of Mediterranean habitats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectionObjective Context triple: [Tenuta di Castelporziano, hasProtectionObjective, conservation of Mediterranean habitats]
-
A.
protectionObjective
chosen
Indicates that one entity has the goal or purpose of safeguarding, defending, or preserving another entity or its interests.
-
B.
isProtectedFor
Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
-
C.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
D.
isProtectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
E.
protectionType
Indicates the kind or method of protection that is applied to or associated with an entity.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbab9f5b88190b8a18056dc592dde |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.