Triple
T31078707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albanian exclusive economic zone |
E792042
|
entity |
| Predicate | typeOfResourcePresent |
P3729
|
FINISHED |
| Object | fisheries resources |
—
|
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: fisheries resources | Statement: [Albanian exclusive economic zone, typeOfResourcePresent, fisheries resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfResourcePresent Context triple: [Albanian exclusive economic zone, typeOfResourcePresent, fisheries resources]
-
A.
hasTypeOfResource
chosen
Indicates that an entity is associated with a specific category or kind of resource it represents or utilizes.
-
B.
hasOnlineResourceType
Indicates that an entity’s associated online resource belongs to a specific type or category (e.g., webpage, dataset, video).
-
C.
typeOfResourceRegulated
Indicates that one entity specifies the kind or category of resource that is subject to regulation by another entity.
-
D.
typeOfInstitutionalResource
Indicates that one institutional resource is classified as a specific type or category of institutional resource.
-
E.
typicalResource
Indicates that something is a standard or commonly used resource associated with another 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 29, 2026, 9:02 p.m.