Triple
T21651332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riversleigh |
E534343
|
entity |
| Predicate | timeSpanDocumented |
P302
|
FINISHED |
| Object | approximately 25 million years of evolutionary history |
—
|
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: approximately 25 million years of evolutionary history | Statement: [Riversleigh, timeSpanDocumented, approximately 25 million years of evolutionary history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanDocumented Context triple: [Riversleigh, timeSpanDocumented, approximately 25 million years of evolutionary history]
-
A.
timeSpanMentioned
Indicates that a specific duration or period of time is explicitly referenced in the context.
-
B.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
timeSpanIncludes
Indicates that one time span fully contains or covers the entire duration of another time span.
-
D.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
E.
timePeriodCoveredTo
Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5914a3f88190b797188eba34edd8 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.