Triple
T10138197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siderian Period |
E226913
|
entity |
| Predicate | atmosphericOxygenTrend |
P92474
|
FINISHED |
| Object | increasing |
—
|
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: increasing | Statement: [Siderian Period, atmosphericOxygenTrend, increasing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: atmosphericOxygenTrend Context triple: [Siderian Period, atmosphericOxygenTrend, increasing]
-
A.
oxygenValueApprox
Indicates that the oxygen value of an entity is approximately equal to a specified reference value, within an acceptable margin of error.
-
B.
hasAtmosphericRecord
Indicates that an entity possesses documented data or measurements related to atmospheric conditions or phenomena.
-
C.
carbonDioxideLevel
Indicates the measured concentration or amount of carbon dioxide present in a given environment or system.
-
D.
atmosphericStudyType
Indicates the specific kind or category of study being conducted on the atmosphere or atmospheric phenomena.
-
E.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde88344a481909ee833451fab6e58 |
completed | April 2, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd51bc440c819086320900701f87c2 |
completed | April 1, 2026, 5:11 p.m. |
Created at: March 30, 2026, 9:06 p.m.