Triple
T22077684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President's Rule |
E545561
|
entity |
| Predicate | post1990sTrend |
P39078
|
FINISHED |
| Object | reduced frequency after S. R. Bommai judgment |
—
|
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: reduced frequency after S. R. Bommai judgment | Statement: [President's Rule, post1990sTrend, reduced frequency after S. R. Bommai judgment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: post1990sTrend Context triple: [President's Rule, post1990sTrend, reduced frequency after S. R. Bommai judgment]
-
A.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
-
B.
contemporaryTendency
Indicates that one entity reflects, aligns with, or exemplifies a prevailing trend, style, or tendency of the same time period as another entity.
-
C.
trends
chosen
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
D.
statusBefore1990s
Indicates the condition or state that an entity had prior to the 1990s.
-
E.
trendy
Indicates that something is currently fashionable, popular, or in line with prevailing styles or tastes.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b38844819084526372fa6c6e35 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.