Triple
T4322896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matilija poppies |
E96558
|
entity |
| Predicate | flowerSize |
P11543
|
FINISHED |
| Object | up to about 15–20 cm across |
—
|
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: up to about 15–20 cm across | Statement: [Matilija poppies, flowerSize, up to about 15–20 cm across]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerSize Context triple: [Matilija poppies, flowerSize, up to about 15–20 cm across]
-
A.
flowerHeadDiameter
chosen
Indicates the diameter measurement across the head of a flower.
-
B.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
C.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
D.
flowerPosition
Indicates the spatial location or arrangement of a flower relative to a reference object or coordinate system.
-
E.
flowerCharacteristic
Indicates that a flower possesses a particular attribute, quality, or feature (such as color, shape, size, or scent).
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.