Triple
T3668282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mysterium Cosmographicum |
E77814
|
entity |
| Predicate | aimedToExplain |
P5130
|
FINISHED |
| Object | relative distances of planets from the Sun |
—
|
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: relative distances of planets from the Sun | Statement: [Mysterium Cosmographicum, aimedToExplain, relative distances of planets from the Sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimedToExplain Context triple: [Mysterium Cosmographicum, aimedToExplain, relative distances of planets from the Sun]
-
A.
aimsToExplain
chosen
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
B.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
C.
aimedToFacilitate
Indicates an action or arrangement that was intentionally designed to make another process, event, or outcome easier or more likely to occur.
-
D.
claimsToExplain
Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
-
E.
aimsToSolve
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.