Triple
T20630781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orangery |
E506946
|
entity |
| Predicate | typicalPlantsGrown |
P36488
|
FINISHED |
| Object | orange trees |
—
|
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: orange trees | Statement: [Orangery, typicalPlantsGrown, orange trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlantsGrown Context triple: [Orangery, typicalPlantsGrown, orange trees]
-
A.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
B.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
C.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
D.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
E.
plantCollection
chosen
Indicates that one entity maintains or possesses a collection of plants, typically grouped or curated as a set.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0b0508819093c62a4ceaf860ce |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.