Triple
T45658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Boric |
E894
|
entity |
| Predicate | politicalOrientation |
P496
|
FINISHED |
| Object | left-wing |
—
|
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: left-wing | Statement: [Gabriel Boric, politicalOrientation, left-wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalOrientation Context triple: [Gabriel Boric, politicalOrientation, left-wing]
-
A.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
B.
ideology
chosen
Indicates the belief system or set of political, social, or philosophical principles that an entity adheres to or promotes.
-
C.
politicalRationale
Indicates the reasoning, justification, or strategic considerations underlying a political decision, stance, or action.
-
D.
hasPolity
Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
-
E.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24abbd32c81908cec461d9097662e |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.