Triple
T1193622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alboran Sea |
E25617
|
entity |
| Predicate | hasMarineProtectedAreas |
P15956
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Alboran Sea, hasMarineProtectedAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarineProtectedAreas Context triple: [Alboran Sea, hasMarineProtectedAreas, true]
-
A.
marineProtectedArea
chosen
Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
-
B.
marineProtectedAreaManagingCountry
Indicates that a country is responsible for managing or overseeing a specific marine protected area.
-
C.
hasUNESCOBiosphereReserve
Indicates that an entity includes, contains, or is associated with a designated UNESCO Biosphere Reserve.
-
D.
hasMarineEcoregion
Indicates that an entity is associated with, or located within, a specific marine ecoregion.
-
E.
hasMajorSanctuary
Indicates that an entity possesses or is associated with a primary or principal sanctuary location.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7743548190a70d3f3c7378aaa7 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.