Triple
T25935498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rat On! |
E653540
|
entity |
| Predicate | isPoliticallyTinged |
P40887
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rat On!, isPoliticallyTinged, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPoliticallyTinged Context triple: [Rat On!, isPoliticallyTinged, true]
-
A.
politicallyIn
Indicates that one entity is located within, belongs to, or falls under the political jurisdiction or authority of another entity.
-
B.
politicallySensitive
chosen
Indicates that an entity, action, or topic is associated with political issues, controversies, or power structures such that it may require special caution, regulation, or discretion.
-
C.
hasPoliticalComponent
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
-
D.
usedInPoliticalDiscourse
Indicates that something is employed as a term, concept, or reference within political discussion, debate, or rhetoric.
-
E.
politicallySignificant
Indicates that an entity, event, or action has notable impact on, relevance to, or implications for political processes, power structures, or public 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6041c82b88190a22f9ecee5172883 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:39 a.m.