Triple
T33346203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippeastrum |
E853800
|
entity |
| Predicate | wateringRequirement |
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: [Hippeastrum, wateringRequirement, moderate watering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wateringRequirement Context triple: [Hippeastrum, wateringRequirement, moderate watering]
-
A.
waterRequirement
chosen
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
B.
hasIrrigationDependence
Indicates that one entity relies on another entity or system to provide irrigation for its water needs.
-
C.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
D.
receivesMoistureFrom
Indicates that one entity obtains or is supplied with moisture (such as water, humidity, or precipitation) from another entity.
-
E.
waterRetention
Indicates the capacity of something to hold or retain water over time.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 1:34 a.m.