Triple
T19217068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona Ekonomi Eksklusif Indonesia |
E480512
|
entity |
| Predicate | jenisSumberDaya |
P60481
|
FINISHED |
| Object | sumber daya hayati laut |
—
|
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: sumber daya hayati laut | Statement: [Zona Ekonomi Eksklusif Indonesia, jenisSumberDaya, sumber daya hayati laut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jenisSumberDaya Context triple: [Zona Ekonomi Eksklusif Indonesia, jenisSumberDaya, sumber daya hayati laut]
-
A.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for another entity.
-
B.
primaryResourceType
chosen
Indicates the main or predominant type/category of resource associated with an entity or activity.
-
C.
typeOfResourceRegulated
Indicates that one entity specifies the kind or category of resource that is subject to regulation by another entity.
-
D.
typeOfResourceStudied
Indicates that a particular resource is the subject or focus of study or analysis in a given context.
-
E.
usesNaturalResource
Indicates that an entity makes use of a natural resource (such as water, minerals, or forests) to support its activities, processes, or functions.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3aff9c8190974363683b8246f5 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:23 p.m.