Triple
T28032930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kairakuen Garden |
E708320
|
entity |
| Predicate | numberOfPlumVarieties |
P49018
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Kairakuen Garden, numberOfPlumVarieties, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlumVarieties Context triple: [Kairakuen Garden, numberOfPlumVarieties, over 100]
-
A.
numberOfPlumTrees
Indicates the quantity of plum trees associated with a given entity.
-
B.
numberOfPrimaryVarieties
Indicates the count of distinct primary varieties associated with a given entity.
-
C.
hasApproximateNumberOfVarieties
chosen
Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
-
D.
numberOfRoseVarieties
Indicates the quantitative count of distinct rose varieties associated with an entity.
-
E.
has32Varieties
Indicates that one entity possesses or includes exactly 32 distinct types, forms, or varieties of 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: April 27, 2026, 8:18 p.m.