Triple
T501297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchantiophyta |
E10405
|
entity |
| Predicate | waterDependence |
P1345
|
FINISHED |
| Object | requires water for fertilization |
—
|
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: requires water for fertilization | Statement: [Marchantiophyta, waterDependence, requires water for fertilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterDependence Context triple: [Marchantiophyta, waterDependence, requires water for fertilization]
-
A.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
C.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
D.
waterRequirement
chosen
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
E.
waterSourceType
Indicates the kind or category of source from which water is obtained.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f131e2148190afd43402f505c73e |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.