Triple
T38405497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Monde à l’empire |
E901015
|
entity |
| Predicate | authorActiveCentury |
P1560
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Le Monde à l’empire, authorActiveCentury, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorActiveCentury Context triple: [Le Monde à l’empire, authorActiveCentury, 16th century]
-
A.
activeInCentury
chosen
Indicates that an entity was active, influential, or operational during a specified century.
-
B.
activeUntilCentury
Indicates that an entity remains active or in effect up to and including a specified century.
-
C.
notableFromCentury
Indicates that an entity is notably associated with, or best known from, a particular century.
-
D.
centuryLivedIn
Indicates the century during which an entity (typically a person) was alive or primarily active.
-
E.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: May 3, 2026, 4:31 p.m.