Triple
T28705988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddha in a Traffic Jam |
E729697
|
entity |
| Predicate | politicalAlignmentAsPerCritics |
P101223
|
FINISHED |
| Object | right-leaning |
—
|
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: right-leaning | Statement: [Buddha in a Traffic Jam, politicalAlignmentAsPerCritics, right-leaning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalAlignmentAsPerCritics Context triple: [Buddha in a Traffic Jam, politicalAlignmentAsPerCritics, right-leaning]
-
A.
criticizesPosition
Indicates that one entity expresses disapproval of, challenges, or points out flaws in another entity’s stance, viewpoint, or argument.
-
B.
economicAlignment
Indicates that two or more entities share similar or compatible economic interests, policies, or strategic economic objectives.
-
C.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
D.
associatedWithPoliticalAlignment
chosen
Indicates a relationship where an entity is connected to, supports, or is characterized by a particular political ideology, party, or alignment.
-
E.
politicalSystemCritiqued
Indicates that a political system is the target of criticism, evaluation, or negative commentary by an entity.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 28, 2026, 5:45 a.m.