Triple
T65825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FLRW cosmological models |
E1311
|
entity |
| Predicate | basedOnTheory |
P1757
|
FINISHED |
| Object | general relativity |
—
|
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: general relativity | Statement: [FLRW cosmological models, basedOnTheory, general relativity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnTheory Context triple: [FLRW cosmological models, basedOnTheory, general relativity]
-
A.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
B.
basedOnAuthor
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
-
C.
basedOnEvent
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
D.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
E.
usesPrinciple
chosen
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.