Triple
T32186258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscari |
E822114
|
entity |
| Predicate | flowerClusterAppearance |
P150856
|
FINISHED |
| Object | grape-like clusters |
—
|
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: grape-like clusters | Statement: [Muscari, flowerClusterAppearance, grape-like clusters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerClusterAppearance Context triple: [Muscari, flowerClusterAppearance, grape-like clusters]
-
A.
flowerClusterType
chosen
Indicates the specific arrangement or grouping pattern in which individual flowers are clustered together.
-
B.
flowerPosition
Indicates the spatial location or arrangement of a flower relative to a reference object or coordinate system.
-
C.
floweringPattern
Indicates how and when a plant produces flowers, such as the timing, frequency, and arrangement of its blooming.
-
D.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
E.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6babadb3481908b49400b3ab42a7c |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:35 a.m.