Triple
T4739182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pradhan Mantri Awas Yojana – Urban |
E105195
|
entity |
| Predicate | linkedScheme |
P43293
|
FINISHED |
| Object | Credit Linked Subsidy Scheme |
—
|
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: Credit Linked Subsidy Scheme | Statement: [Pradhan Mantri Awas Yojana – Urban, linkedScheme, Credit Linked Subsidy Scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedScheme Context triple: [Pradhan Mantri Awas Yojana – Urban, linkedScheme, Credit Linked Subsidy Scheme]
-
A.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
B.
linkedNetwork
Indicates that two entities are connected through a shared or associated network relationship.
-
C.
linkedProgram
chosen
Indicates that one program is associated or connected to another program in a meaningful or dependent way.
-
D.
symbolLinked
Indicates a relationship where one symbol is connected or associated with another symbol, typically to show reference, correspondence, or linkage between them.
-
E.
linkedFigure
Indicates that one figure is associated or connected to another figure, typically as a reference or related visual element.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6485d690819098dc4a974516da6b |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.