Triple
T5118058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl |
E115385
|
entity |
| Predicate | associatedCentury |
P56280
|
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: [Carl, associatedCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCentury Context triple: [Carl, associatedCentury, 17th century]
-
A.
associatedWithCentury
chosen
Indicates that something has a relevant connection or linkage to a particular century, such as occurring in, belonging to, or being characteristic of that time period.
-
B.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
C.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
D.
revealedInCentury
Indicates that something became known, disclosed, or publicly revealed during a specified century.
-
E.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:41 p.m.