Triple
T188125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate of Chile |
E3660
|
entity |
| Predicate | renewalPattern |
P5690
|
FINISHED |
| Object | half of the members renewed every 4 years |
—
|
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: half of the members renewed every 4 years | Statement: [Senate of Chile, renewalPattern, half of the members renewed every 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renewalPattern Context triple: [Senate of Chile, renewalPattern, half of the members renewed every 4 years]
-
A.
reappointmentPolicy
Indicates the rules or conditions governing whether and how an individual can be reappointed to a position or role.
-
B.
migrationPattern
Indicates the typical routes, timing, and destinations followed by entities as they move periodically from one location or region to another.
-
C.
fieldPattern
Indicates a recurring or structured arrangement or configuration present within a field or area.
-
D.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
E.
reassessedAfter
Indicates that one entity is evaluated or reviewed again at a time point that occurs after another specified event or assessment.
- F. None of above. chosen
Provenance (4 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594940e48190a3d8efbce46241c3 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25672332081909386f35f3ca15dd2 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25738b5108190866fd704fceee18a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.