Triple
T1427066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Frio |
E30356
|
entity |
| Predicate | marineEcosystemCharacteristic |
P11765
|
FINISHED |
| Object | nutrient-rich waters |
—
|
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: nutrient-rich waters | Statement: [Cape Frio, marineEcosystemCharacteristic, nutrient-rich waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineEcosystemCharacteristic Context triple: [Cape Frio, marineEcosystemCharacteristic, nutrient-rich waters]
-
A.
hasMarineEcosystem
chosen
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
B.
hasMarineEcoregion
Indicates that an entity is associated with, or located within, a specific marine ecoregion.
-
C.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
D.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
E.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.