Triple
T19179035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vacuum Diagrams |
E469520
|
entity |
| Predicate | chronologyCovers |
P32028
|
FINISHED |
| Object | early universe to far future |
—
|
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: early universe to far future | Statement: [Vacuum Diagrams, chronologyCovers, early universe to far future]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyCovers Context triple: [Vacuum Diagrams, chronologyCovers, early universe to far future]
-
A.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
chronologyIncludes
Indicates that a broader chronological sequence or timeline encompasses a specific time span, event, or period as part of it.
-
C.
chronologicallyCovers
chosen
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
-
D.
chronologyType
Indicates the type or system of chronological ordering or dating applied to an event, period, or sequence.
-
E.
chronologyUsedBy
Indicates that a particular system, method, or scheme of chronological ordering is employed or adopted by a given entity.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f619c60c81909d11489525add829 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.