Triple
T25928856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sperrgebiet |
E653378
|
entity |
| Predicate | securityReason |
P162608
|
FINISHED |
| Object | environmental 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: environmental protection | Statement: [Sperrgebiet, securityReason, environmental protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityReason Context triple: [Sperrgebiet, securityReason, environmental protection]
-
A.
securityGuarantee
Indicates a commitment by one party to protect or defend another party against specified threats or risks.
-
B.
securityImplication
Indicates that one entity has a consequence, effect, or relevance for the safety, protection, or vulnerability status of another entity or system.
-
C.
security
Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
-
D.
securityOutcome
Indicates the result or consequence of a security-related event, measure, or decision for the involved entities.
-
E.
securityAttention
Indicates that an entity is the focus of monitoring, concern, or scrutiny from a security perspective.
- F. None of above. chosen
Provenance (4 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 22, 2026, 8:36 a.m.