Triple
T3193733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreto, Baja California Sur |
E66885
|
entity |
| Predicate | protectedAreaTypeNearby |
P28402
|
FINISHED |
| Object | marine national 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: marine national park | Statement: [Loreto, Baja California Sur, protectedAreaTypeNearby, marine national park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectedAreaTypeNearby Context triple: [Loreto, Baja California Sur, protectedAreaTypeNearby, marine national park]
-
A.
protectedAreaCountry
Indicates that a protected area is located within and legally falls under the jurisdiction of a specific country.
-
B.
isInProtectedAreaVicinity
Indicates that an entity is located close to, but not necessarily within, a designated protected area.
-
C.
hasNearbyNatureReserve
chosen
Indicates that one place or entity is located close to a designated nature reserve.
-
D.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
E.
hasProtectedArea
Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada713bf0c81908f3143f45f63a5ad |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.