Triple
T33167405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla San Guillermo |
E848928
|
entity |
| Predicate | hasNearbyMarineEnvironment |
P117087
|
FINISHED |
| Object | rich marine ecosystem of Chiloé Archipelago |
—
|
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: rich marine ecosystem of Chiloé Archipelago | Statement: [Isla San Guillermo, hasNearbyMarineEnvironment, rich marine ecosystem of Chiloé Archipelago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMarineEnvironment Context triple: [Isla San Guillermo, hasNearbyMarineEnvironment, rich marine ecosystem of Chiloé Archipelago]
-
A.
hasNearbyMarineFeature
chosen
Indicates that one entity is located close to a marine geographic feature associated with the other entity.
-
B.
hasMarineEcosystem
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
C.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
-
D.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
E.
hasCoastalEnvironment
Indicates that an entity is located in, adjacent to, or characterized by a coastal environment or shoreline setting.
- 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff6fba1a5c8190a660279a6271d785 |
completed | May 9, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ff6f59388c8190a7d6ab7bc7705bc0 |
completed | May 9, 2026, 5:31 p.m. |
Created at: May 1, 2026, 1:28 a.m.