Triple
T2055349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlumbergera |
E45660
|
entity |
| Predicate | waterPreference |
P1345
|
FINISHED |
| Object | moderate watering |
—
|
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: moderate watering | Statement: [Schlumbergera, waterPreference, moderate watering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterPreference Context triple: [Schlumbergera, waterPreference, moderate watering]
-
A.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
waterRequirement
chosen
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
C.
waterContains
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
-
D.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
E.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9a9ce548190a5a3488fafb2e79e |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.