Triple
T6224109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearl River (Louisiana–Mississippi) |
E139186
|
entity |
| Predicate | hasWetlandsAlong |
P24156
|
FINISHED |
| Object | bottomland hardwood 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: bottomland hardwood forests | Statement: [Pearl River (Louisiana–Mississippi), hasWetlandsAlong, bottomland hardwood forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWetlandsAlong Context triple: [Pearl River (Louisiana–Mississippi), hasWetlandsAlong, bottomland hardwood forests]
-
A.
containsWetland
chosen
Indicates that one area or region includes within its boundaries a wetland ecosystem.
-
B.
hasAquaticEcosystem
Indicates that an entity possesses, contains, or is associated with an ecosystem primarily based in water (such as rivers, lakes, wetlands, or oceans).
-
C.
hasWaterFeatures
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
-
D.
hasMarineEcosystem
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
E.
receivesFreshwaterFrom
Indicates that one entity is supplied with or obtains freshwater from another entity as its source.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c214c48190b94e7f904e2bf699 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.