Triple
T15824445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies electoral system of Chile |
E383699
|
entity |
| Predicate | hasReformDebate |
P59763
|
FINISHED |
| Object | district magnitude adjustments |
—
|
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: district magnitude adjustments | Statement: [Chamber of Deputies electoral system of Chile, hasReformDebate, district magnitude adjustments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReformDebate Context triple: [Chamber of Deputies electoral system of Chile, hasReformDebate, district magnitude adjustments]
-
A.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
B.
hasDebateFormat
Indicates that a particular debate, event, or context uses or follows a specified debate format or structure.
-
C.
hasDebateStatus
Indicates that an entity (such as a topic, motion, or issue) is associated with a particular stage or condition within a debate process (e.g., proposed, ongoing, concluded).
-
D.
hasDebateTerm
Indicates that an entity is associated with, or characterized by, a specific term used in a debate or argumentative context.
-
E.
hasNotableDebates
chosen
Indicates that there have been significant or widely recognized debates or controversies involving the related entities.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.