Triple
T38043239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socialist Party (India) |
E949545
|
entity |
| Predicate | positionOnRuralPolicy |
P116329
|
FINISHED |
| Object | land redistribution |
—
|
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: land redistribution | Statement: [Socialist Party (India), positionOnRuralPolicy, land redistribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnRuralPolicy Context triple: [Socialist Party (India), positionOnRuralPolicy, land redistribution]
-
A.
hasRuralFocus
chosen
Indicates that the subject is oriented toward, concerned with, or primarily serving rural areas or rural-related issues.
-
B.
governsRuralArea
Indicates that one entity has governing authority or administrative control over a rural area associated with another entity.
-
C.
policesRuralAreas
Indicates that an entity is responsible for enforcing law and maintaining public order in rural or non-urban areas.
-
D.
alignedRuralInterestsWith
Indicates that one entity has brought its goals, policies, or actions into harmony with the rural interests or priorities of another entity.
-
E.
isRuralAndRemote
Indicates that the subject is located in an area characterized as both rural (low population density, non-urban) and remote (geographically isolated or distant from major services or centers).
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:20 p.m.