Triple
T1684431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Princesse de Babylone |
E36409
|
entity |
| Predicate | exploresContrastBetween |
P32726
|
FINISHED |
| Object | natural virtue and corrupt civilization |
—
|
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: natural virtue and corrupt civilization | Statement: [La Princesse de Babylone, exploresContrastBetween, natural virtue and corrupt civilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresContrastBetween Context triple: [La Princesse de Babylone, exploresContrastBetween, natural virtue and corrupt civilization]
-
A.
oftenContrastedWith
Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
-
B.
genreContrast
Indicates a relationship where two or more works are compared or juxtaposed based on differences between their genres.
-
C.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
D.
contrastsBiotaWith
Indicates a relationship where one biotic entity or group is explicitly compared to another by highlighting their differences or opposing characteristics.
-
E.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
- F. None of above. chosen
Provenance (4 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba641e6a881909645577e72b53df2 |
completed | March 7, 2026, 4:14 a.m. |
Created at: March 4, 2026, 7:29 p.m.