Triple
T252492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pliocene epoch |
E5179
|
entity |
| Predicate | vegetationCharacteristic |
P949
|
FINISHED |
| Object | expansion of grasslands |
—
|
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: expansion of grasslands | Statement: [Pliocene epoch, vegetationCharacteristic, expansion of grasslands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vegetationCharacteristic Context triple: [Pliocene epoch, vegetationCharacteristic, expansion of grasslands]
-
A.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
B.
vegetation
chosen
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
C.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
D.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
-
E.
soilPreference
Indicates the type or condition of soil that an entity prefers or is best suited to grow or exist in.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d39eb3881909f435043c8697f13 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b678d6c81909780e1995c1ca691 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.