Triple
T3843389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aguarico River |
E93506
|
entity |
| Predicate | hasWetlandType |
P24156
|
FINISHED |
| Object | floodplain forests |
—
|
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: floodplain forests | Statement: [Aguarico River, hasWetlandType, floodplain forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWetlandType Context triple: [Aguarico River, hasWetlandType, floodplain forests]
-
A.
containsWetland
chosen
Indicates that one area or region includes within its boundaries a wetland ecosystem.
-
B.
formsWetland
Indicates that one entity creates, develops, or gives rise to a wetland environment in relation to another entity or location.
-
C.
hasFloodplainType
Indicates that an area or location is associated with a specific type or classification of floodplain.
-
D.
hasHydrologicalType
Indicates a relationship where an entity is classified according to its hydrological category or type (e.g., river, lake, aquifer).
-
E.
hasWatershedCharacteristic
Indicates that a watershed possesses a specified characteristic, feature, or property.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb4fd308190a636ba9dbbe57ed6 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.