Triple
T3615046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepler (lunar crater) |
E76579
|
entity |
| Predicate | raySystemAge |
P50430
|
FINISHED |
| Object | Copernican |
—
|
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: Copernican | Statement: [Kepler (lunar crater), raySystemAge, Copernican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raySystemAge Context triple: [Kepler (lunar crater), raySystemAge, Copernican]
-
A.
ageProgression
Indicates a temporal relationship where an entity’s age increases or advances over time.
-
B.
estimatedAgeInMillionsOfYears
Indicates the approximate age of something expressed in units of millions of years.
-
C.
agePattern
Indicates a relationship where entities share or follow a specific configuration, distribution, or rule regarding their ages.
-
D.
GreatRedSpotAge
Indicates the age or duration of existence of the Great Red Spot relative to a referenced time or event.
-
E.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27b5e008190a72a8dab7d736e64 |
completed | March 8, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69adb83f1e4c8190ab501c1c05b14c08 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9bbb62c8190989629ca11733e1b |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:23 p.m.