Triple
T23970434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karamchedu |
E604212
|
entity |
| Predicate | impactOfEvent |
P145803
|
FINISHED |
| Object | influenced Dalit rights movements in Andhra Pradesh |
—
|
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: influenced Dalit rights movements in Andhra Pradesh | Statement: [Karamchedu, impactOfEvent, influenced Dalit rights movements in Andhra Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfEvent Context triple: [Karamchedu, impactOfEvent, influenced Dalit rights movements in Andhra Pradesh]
-
A.
impactEvent
Indicates that one entity physically strikes or collides with another, producing a resulting effect or change.
-
B.
impactOfNotableEvent
chosen
Indicates the causal influence or consequences that a specific notable event has on an entity, situation, or outcome.
-
C.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
D.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
E.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1db392c8190a1044b75b898243a |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.