Triple

T26226132
Position Surface form Disambiguated ID Type / Status
Subject Sagarmala Programme E655896 entity
Predicate relatedTo P37 FINISHED
Object National Logistics Policy of India
The National Logistics Policy of India is a comprehensive government framework aimed at improving the efficiency, integration, and cost-effectiveness of the country’s logistics and supply chain ecosystem across all modes of transport.
E1715817 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 Logistics Policy of India | Statement: [Sagarmala Programme, relatedTo, National Logistics Policy of India]
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 Logistics Policy of India
Triple: [Sagarmala Programme, relatedTo, National Logistics Policy of India]
Generated description
The National Logistics Policy of India is a comprehensive government framework aimed at improving the efficiency, integration, and cost-effectiveness of the country’s logistics and supply chain ecosystem across all modes of transport.

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_69ee5b4a77e08190bfcb5f8ecdc55abd completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d53d94081909d0ae8f05e8de84c completed May 2, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118594aac08190af23b70cbec0aff6 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861f5bd08190873109d86ffaca0a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186f95c8c8190ab60afefe537a971 completed May 23, 2026, 10:52 a.m.
Created at: April 26, 2026, 8:58 p.m.