Triple
T869938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cenozoic |
E18786
|
entity |
| Predicate | plantEvolutionTrend |
P8007
|
FINISHED |
| Object | spread of angiosperms |
—
|
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: spread of angiosperms | Statement: [Cenozoic, plantEvolutionTrend, spread of angiosperms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantEvolutionTrend Context triple: [Cenozoic, plantEvolutionTrend, spread of angiosperms]
-
A.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
B.
futureEvolution
Indicates a predicted or potential future development or transformation of one entity into another.
-
C.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal conditions.
-
D.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
E.
successionPattern
chosen
Indicates the characteristic way in which one entity follows, replaces, or is ordered after another in a sequence or succession.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa89ca008190b50d061ac7fe19f9 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.