Triple
T18133876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassimbazar |
E434085
|
entity |
| Predicate | peakImportanceCentury |
P56906
|
FINISHED |
| Object | 17th 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: 17th century | Statement: [Cassimbazar, peakImportanceCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakImportanceCentury Context triple: [Cassimbazar, peakImportanceCentury, 17th century]
-
A.
centuryOfGreatestInfluence
chosen
Indicates the century during which an entity exerted its greatest impact or influence.
-
B.
notableFromCentury
Indicates that an entity is notably associated with, or best known from, a particular century.
-
C.
popularInCentury
Indicates that something was widely liked, influential, or commonly recognized during a specified century.
-
D.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de055c608190a090c2737904e5f9 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.