Triple
T37124360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Balsas |
E919349
|
entity |
| Predicate | ecosystemTypeAlongBanks |
P180644
|
FINISHED |
| Object | tropical dry forest |
—
|
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: tropical dry forest | Statement: [Río Balsas, ecosystemTypeAlongBanks, tropical dry forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecosystemTypeAlongBanks Context triple: [Río Balsas, ecosystemTypeAlongBanks, tropical dry forest]
-
A.
hasAquaticEcosystem
Indicates that an entity possesses, contains, or is associated with an ecosystem primarily based in water (such as rivers, lakes, wetlands, or oceans).
-
B.
primaryRiverBank
Indicates that a river segment is primarily associated with or bordered by a particular river bank (e.g., left or right bank) as its main adjoining side.
-
C.
wetlandSystem
Indicates that one entity is a wetland system associated with, containing, or characterizing the other entity.
-
D.
wetlandType
Indicates the specific classification or category of wetland associated with an entity.
-
E.
hasRiparianVegetation
chosen
Indicates that an area or feature is associated with, bordered by, or contains vegetation growing along the banks of a river, stream, or other watercourse.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.