Triple
T2064666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Loves of the Plants |
E45869
|
entity |
| Predicate | isVolumeOf |
P20232
|
FINISHED |
| Object | two-part work The Botanic Garden |
—
|
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: two-part work The Botanic Garden | Statement: [The Loves of the Plants, isVolumeOf, two-part work The Botanic Garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVolumeOf Context triple: [The Loves of the Plants, isVolumeOf, two-part work The Botanic Garden]
-
A.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
B.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
C.
foundInVolume
chosen
Indicates that one entity is physically or logically contained within, or occurs in, a specific volume (such as a book volume, data volume, or bounded collection).
-
D.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
-
E.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d5147c8190a264fe42f0634cec |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.