Triple
T22857523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninth Five-Year Plan of India |
E566822
|
entity |
| Predicate | targetIndicator |
P23539
|
FINISHED |
| Object | reduction in poverty ratio |
—
|
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: reduction in poverty ratio | Statement: [Ninth Five-Year Plan of India, targetIndicator, reduction in poverty ratio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetIndicator Context triple: [Ninth Five-Year Plan of India, targetIndicator, reduction in poverty ratio]
-
A.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
indicatorType
chosen
Indicates the specific kind or category of indicator associated with an entity or relationship.
-
C.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
-
D.
targetsField
Indicates that one entity is directed toward, focuses on, or is intended to affect a specific field or attribute of another entity.
-
E.
targetsShow
Indicates that one entity is the intended audience or focus of a particular show or presentation.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebe3f9c8190a864f4e84dc7795d |
completed | April 29, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:37 p.m.