Triple
T34871144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameroon region |
E1005754
|
entity |
| Predicate | becameFocalPointInCentury |
P86226
|
FINISHED |
| Object | late 19th 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: late 19th century | Statement: [Cameroon region, becameFocalPointInCentury, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameFocalPointInCentury Context triple: [Cameroon region, becameFocalPointInCentury, late 19th century]
-
A.
centuryOfGreatestInfluence
Indicates the century during which an entity exerted its greatest impact or influence.
-
B.
claimedInCentury
Indicates that a claim or assertion was made or recorded during a specified century.
-
C.
revealedInCentury
Indicates that something became known, disclosed, or publicly revealed during a specified century.
-
D.
reachedPeakInCentury
chosen
Indicates that something attained its highest level, influence, or development during a specified century.
-
E.
notableFromCentury
Indicates that an entity is notably associated with, or best known from, a particular century.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.