Triple
T17469398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brocoió Island |
E425364
|
entity |
| Predicate | hasMarineContext |
P11765
|
FINISHED |
| Object | Guanabara Bay ecosystem |
—
|
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: Guanabara Bay ecosystem | Statement: [Brocoió Island, hasMarineContext, Guanabara Bay ecosystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarineContext Context triple: [Brocoió Island, hasMarineContext, Guanabara Bay ecosystem]
-
A.
hasMarineStatus
Indicates that an entity possesses a specific classification or condition related to its status in a marine or oceanic context.
-
B.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
-
C.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
D.
hasMarineEcoregion
Indicates that an entity is associated with, or located within, a specific marine ecoregion.
-
E.
hasMarineEcosystem
chosen
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aad4a08190be7e25841da8e952 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.