Triple
T637868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranunculales |
E16663
|
entity |
| Predicate | sapType |
P18333
|
FINISHED |
| Object | often contains colored or milky latex in some families |
—
|
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: often contains colored or milky latex in some families | Statement: [Ranunculales, sapType, often contains colored or milky latex in some families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sapType Context triple: [Ranunculales, sapType, often contains colored or milky latex in some families]
-
A.
sponsorType
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
-
B.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
C.
typeOfIntegration
Indicates the specific kind or category of integration that exists or is applied between systems, components, or processes.
-
D.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
E.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a4a1794a60819092b3dc3344426ed7 |
completed | March 1, 2026, 8:28 p.m. |
Created at: March 1, 2026, 7:35 p.m.