Triple
T16859749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rano Kau |
E409876
|
entity |
| Predicate | lakeVegetation |
P953
|
FINISHED |
| Object | floating reeds |
—
|
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: floating reeds | Statement: [Rano Kau, lakeVegetation, floating reeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeVegetation Context triple: [Rano Kau, lakeVegetation, floating reeds]
-
A.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
B.
vegetationType
chosen
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
C.
hasAquaticPlantSpecies
Indicates that an entity contains, supports, or is associated with one or more species of aquatic plants.
-
D.
landscapeElement
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
E.
hasLakes
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b501f72881909f7600311705fb33 |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.