Triple
T5858779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Bautista Arismendi |
E130221
|
entity |
| Predicate | citizenshipStartTime |
P31432
|
FINISHED |
| Object | Venezuelan independence era |
—
|
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: Venezuelan independence era | Statement: [Juan Bautista Arismendi, citizenshipStartTime, Venezuelan independence era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStartTime Context triple: [Juan Bautista Arismendi, citizenshipStartTime, Venezuelan independence era]
-
A.
citizenshipGrantedYear
Indicates the specific year in which an entity was officially granted citizenship.
-
B.
dateOfCitizenshipChange
Indicates the date on which an entity’s citizenship status was changed from one nationality to another.
-
C.
citizenshipDuringLifetime
chosen
Indicates that an entity held citizenship in a particular country or political unit at some point during its lifetime.
-
D.
citizenshipDuration
Indicates the length of time an entity has held citizenship in a particular country or jurisdiction.
-
E.
periodOfResidenceStart
Indicates the date or point in time when an entity’s period of residence at a particular place begins.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.