Triple
T26343644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential election of Chile 1970 |
E662717
|
entity |
| Predicate | politicalPolarization |
P58855
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Presidential election of Chile 1970, politicalPolarization, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPolarization Context triple: [Presidential election of Chile 1970, politicalPolarization, high]
-
A.
polarizationLevel
chosen
Indicates the degree or intensity of polarization present in a given context, such as between opinions, groups, or signals.
-
B.
politicalDiversity
Indicates the extent to which differing political views, affiliations, or ideologies are represented or coexist within a given group, context, or environment.
-
C.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
-
D.
politicalAttitude
Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
-
E.
polarity
Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 26, 2026, 10:40 p.m.