Triple
T7297652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ad astra per aspera |
E164564
|
entity |
| Predicate | etymologyOfComponent |
P30589
|
FINISHED |
| Object | astra derives from Latin astrum meaning star |
—
|
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: astra derives from Latin astrum meaning star | Statement: [Ad astra per aspera, etymologyOfComponent, astra derives from Latin astrum meaning star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologyOfComponent Context triple: [Ad astra per aspera, etymologyOfComponent, astra derives from Latin astrum meaning star]
-
A.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
B.
etymologyStatus
Indicates the status or reliability classification of an etymological explanation for a term or name.
-
C.
etymologyRelatesTo
chosen
Indicates a relationship where one term’s origin, history, or derivation is connected to another linguistic form, word, or source.
-
D.
etymologyReason
Indicates the reason, source, or origin explaining how or why a term acquired its particular etymology.
-
E.
etymologyPossibleMeaning
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8f83c881909e8eae85410f9659 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.