Triple
T1990497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korarchaeota |
E43240
|
entity |
| Predicate | cultivationStatus |
P35222
|
FINISHED |
| Object | poorly cultivated |
—
|
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: poorly cultivated | Statement: [Korarchaeota, cultivationStatus, poorly cultivated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationStatus Context triple: [Korarchaeota, cultivationStatus, poorly cultivated]
-
A.
cultivationRequirement
Indicates the specific conditions or resources that must be met or provided for something to be successfully cultivated.
-
B.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
C.
cultivatedIndoors
Indicates that an entity is grown or maintained within an indoor environment rather than outdoors.
-
D.
cultivatedOutdoors
Indicates that something is grown or produced outside in natural or open-air conditions rather than indoors or in controlled environments.
-
E.
hasCultivar
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
- F. None of above. chosen
Provenance (4 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb8ec608c81908917e945e0118ac4 |
completed | March 7, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:37 p.m.