Triple
T18695369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damara orogeny |
E457101
|
entity |
| Predicate | peakActivityApproxMa |
P86087
|
FINISHED |
| Object | around 550–500 Ma |
—
|
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: around 550–500 Ma | Statement: [Damara orogeny, peakActivityApproxMa, around 550–500 Ma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakActivityApproxMa Context triple: [Damara orogeny, peakActivityApproxMa, around 550–500 Ma]
-
A.
peakActivity
Indicates that an entity is at its highest or most intense level of activity within a given period or context.
-
B.
peakMonthlyActiveUsers
Indicates the highest number of distinct users who were active within any single month over a given period.
-
C.
activityFrequency
Indicates how often a particular activity occurs within a given time period.
-
D.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
E.
hasTimeOfHighActivity
chosen
Indicates that an entity experiences its peak or most intense level of activity during a specified time period.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.