Triple
T929132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De revolutionibus orbium coelestium |
E20051
|
entity |
| Predicate | proposesModel |
P32
|
FINISHED |
| Object | heliocentric model of the universe |
—
|
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: heliocentric model of the universe | Statement: [De revolutionibus orbium coelestium, proposesModel, heliocentric model of the universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesModel Context triple: [De revolutionibus orbium coelestium, proposesModel, heliocentric model of the universe]
-
A.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
B.
proposes
chosen
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
C.
proposedInContextOf
Indicates that something (such as an idea, action, or change) was proposed specifically within, and in relation to, a particular situation, setting, or surrounding circumstances.
-
D.
notableModel
Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
-
E.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34775ac8190aabbd047a36cec6b |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b29876348190a29f4ff9878074a5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.