Triple

T25852684
Position Surface form Disambiguated ID Type / Status
Subject Jal Jeevan Mission E651258 entity
Predicate replaced P101 FINISHED
Object National Rural Drinking Water Programme
The National Rural Drinking Water Programme was an Indian government initiative aimed at providing safe and adequate drinking water to rural households across the country.
E651258 NE 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: National Rural Drinking Water Programme | Statement: [Jal Jeevan Mission, replaced, National Rural Drinking Water Programme]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: National Rural Drinking Water Programme
Triple: [Jal Jeevan Mission, replaced, National Rural Drinking Water Programme]
Generated description
The National Rural Drinking Water Programme was an Indian government initiative aimed at providing safe and adequate drinking water to rural households across the country.

Provenance (5 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_69e7ab39035c8190be15c8aaee1bb858 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6023c5d58819091bbaa931b7972f2 completed May 2, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecae1f2c8190a0b63bb0798df768 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ee2510588190a304a6c042436217 completed May 23, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a10f04c3c4c8190bd0084b6b1b9e7a7 completed May 23, 2026, 12:09 a.m.
Created at: April 22, 2026, 7:59 a.m.