Triple
T4834924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perus |
E108033
|
entity |
| Predicate | politicalSpectrumCategory |
P15842
|
FINISHED |
| Object | populist party |
—
|
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: populist party | Statement: [Perus, politicalSpectrumCategory, populist party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSpectrumCategory Context triple: [Perus, politicalSpectrumCategory, populist party]
-
A.
politicalSpectrumPosition
Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
-
B.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
C.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
D.
politicalSpectrumCoverage
Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
-
E.
politicalIdentity
Indicates the political affiliation, ideology, or stance that characterizes an entity’s position within a political spectrum or system.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.