Triple
T20704305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartina alterniflora |
E508859
|
entity |
| Predicate | saltToleranceMechanism |
P102995
|
FINISHED |
| Object | salt excretion through leaf glands |
—
|
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: salt excretion through leaf glands | Statement: [Spartina alterniflora, saltToleranceMechanism, salt excretion through leaf glands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saltToleranceMechanism Context triple: [Spartina alterniflora, saltToleranceMechanism, salt excretion through leaf glands]
-
A.
saltTolerance
Indicates the degree to which an entity can withstand or function under saline (high-salt) conditions.
-
B.
salinityAdaptationMechanism
chosen
Indicates the mechanism by which an entity adjusts or responds to varying salinity levels in its environment.
-
C.
salinityPreference
Indicates the preferred range or level of salinity under which an entity most optimally exists, functions, or occurs.
-
D.
typicalSaltContent
Indicates the usual or characteristic amount of salt associated with an entity, such as a food or substance.
-
E.
salinity
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18ea874819092a125d9f929a311 |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:13 p.m.