Triple
T4440496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAGA hat |
E95758
|
entity |
| Predicate | hasPoliticalAlignmentContext |
P20145
|
FINISHED |
| Object | conservative |
—
|
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: conservative | Statement: [MAGA hat, hasPoliticalAlignmentContext, conservative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalAlignmentContext Context triple: [MAGA hat, hasPoliticalAlignmentContext, conservative]
-
A.
traditionalPoliticalAlignment
Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
-
B.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
associatedWithPoliticalModel
Indicates that an entity is connected or linked to a particular political model, framework, or ideology in some relevant way.
-
D.
hasPoliticalGroup
Indicates that an entity is associated with, belongs to, or is represented by a particular political group or organization.
-
E.
politicalSide
chosen
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.