Triple
T3512055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Antigua and Barbuda |
E74217
|
entity |
| Predicate | politicalNeutrality |
P6897
|
FINISHED |
| Object | expected to remain non-partisan |
—
|
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: expected to remain non-partisan | Statement: [King of Antigua and Barbuda, politicalNeutrality, expected to remain non-partisan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalNeutrality Context triple: [King of Antigua and Barbuda, politicalNeutrality, expected to remain non-partisan]
-
A.
nonPartisan
chosen
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
-
B.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
C.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
D.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
-
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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc10b6b48190bedfed6d34afc425 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.