Triple
T20631681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Madryn |
E506969
|
entity |
| Predicate | hasMarineProtectedAreaAccess |
P113391
|
FINISHED |
| Object | Golfo Nuevo marine areas |
—
|
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: Golfo Nuevo marine areas | Statement: [Puerto Madryn, hasMarineProtectedAreaAccess, Golfo Nuevo marine areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarineProtectedAreaAccess Context triple: [Puerto Madryn, hasMarineProtectedAreaAccess, Golfo Nuevo marine areas]
-
A.
marineProtectedAreaAccess
chosen
Indicates that an entity has permission or ability to enter, use, or traverse a designated marine protected area under specified rules or restrictions.
-
B.
hasMarineReserve
Indicates that an entity possesses, includes, or is associated with a designated marine reserve area.
-
C.
hasProtectedAreaAccess
Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
-
D.
hasProtectedAreasNearby
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
E.
hasMarinePark
Indicates that an entity possesses, contains, or is associated with a designated marine park area.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0b0508819093c62a4ceaf860ce |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.