Triple

T31706818
Position Surface form Disambiguated ID Type / Status
Subject Yug Nirman Yojana E809202 entity
Predicate initiatedBy P1408 FINISHED
Object Gayatri Parivar
Gayatri Parivar is a spiritual and social reform organization founded by Pandit Shriram Sharma Acharya, known for promoting moral upliftment, Vedic values, and large-scale community development initiatives in India and abroad.
E1973699 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: Gayatri Parivar | Statement: [Yug Nirman Yojana, initiatedBy, Gayatri Parivar]
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: Gayatri Parivar
Triple: [Yug Nirman Yojana, initiatedBy, Gayatri Parivar]
Generated description
Gayatri Parivar is a spiritual and social reform organization founded by Pandit Shriram Sharma Acharya, known for promoting moral upliftment, Vedic values, and large-scale community development initiatives in India and abroad.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aacd74848190b556e62dc8bb8154 completed May 3, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84cda6688190bd6e88ab0302835a completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b85a5ab2c8190a60fcabd52457238 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8691a20481908df4fde011217317 completed June 12, 2026, 4:09 a.m.
Created at: April 30, 2026, 11:14 p.m.