Triple
T35779695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackheath Rhododendron Gardens |
E1034401
|
entity |
| Predicate | hasMainPlantCollection |
P203947
|
FINISHED |
| Object | rhododendrons |
—
|
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: rhododendrons | Statement: [Blackheath Rhododendron Gardens, hasMainPlantCollection, rhododendrons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainPlantCollection Context triple: [Blackheath Rhododendron Gardens, hasMainPlantCollection, rhododendrons]
-
A.
hasNumberOfPlantCollections
Indicates the quantity of distinct plant collections associated with an entity.
-
B.
hasMajorPlant
Indicates that one entity possesses or hosts a primary or most significant plant facility or installation in relation to another entity.
-
C.
hasGreenhouseCollection
Indicates that an entity maintains or possesses a collection of items housed within a greenhouse.
-
D.
hasHerbarium
Indicates that an entity possesses, is associated with, or maintains a herbarium collection.
-
E.
hasViewOnPlants
Indicates that an entity holds a particular opinion, perspective, or stance regarding plants.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a02fc3890a881908b69b0f2d7cc1ce1 |
completed | May 12, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_6a02fb98438c8190938896c00216b9ec |
completed | May 12, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_6a02fc379d1c8190aeb144f093169cfa |
completed | May 12, 2026, 10:08 a.m. |
Created at: May 3, 2026, 4:06 p.m.