Triple
T16262502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Animals Topiary Garden |
E394787
|
entity |
| Predicate | primaryPlantUse |
P51056
|
FINISHED |
| Object | topiary sculpture |
—
|
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: topiary sculpture | Statement: [Green Animals Topiary Garden, primaryPlantUse, topiary sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPlantUse Context triple: [Green Animals Topiary Garden, primaryPlantUse, topiary sculpture]
-
A.
plantUse
chosen
Indicates that a plant is used for a particular purpose, function, or application.
-
B.
primaryHumanUse
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
-
C.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
-
D.
agricultureUse
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
E.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c5583c8190901e892238cf8dbd |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.