Triple
T23057697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telašćica Bay area |
E574202
|
entity |
| Predicate | hasLegalProtectionSince |
P150809
|
FINISHED |
| Object | 1988 as a nature park |
—
|
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: 1988 as a nature park | Statement: [Telašćica Bay area, hasLegalProtectionSince, 1988 as a nature park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalProtectionSince Context triple: [Telašćica Bay area, hasLegalProtectionSince, 1988 as a nature park]
-
A.
hasLegalBasisSince
Indicates that something has had a valid legal foundation or authority starting from a specified point in time.
-
B.
isProtectedByLawIn
Indicates that an entity is safeguarded or granted legal protection within a specified jurisdiction or legal framework.
-
C.
legalProtectionFor
Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
-
D.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
E.
hasLegalRight
Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18681bec48190a8226b3d89d19b9f |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:55 p.m.