Triple

T27391621
Position Surface form Disambiguated ID Type / Status
Subject Murti River E691549 entity
Predicate partOf P40 FINISHED
Object Dooars river system
The Dooars river system is a network of rivers and streams flowing through the fertile, forested foothills of the eastern Himalayas in northern West Bengal and adjoining areas, shaping the region’s ecology and agriculture.
 E1771227 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: Dooars river system | Statement: [Murti River, partOf, Dooars river system]
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: Dooars river system
Triple: [Murti River, partOf, Dooars river system]
Generated description
The Dooars river system is a network of rivers and streams flowing through the fertile, forested foothills of the eastern Himalayas in northern West Bengal and adjoining areas, shaping the region’s ecology and agriculture.

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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cad49348190852c7d058a5bbda3 completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7f45bc08190be2de35f45777df1 completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12aa8ea0f48190a1a86e29a643c1fa completed May 24, 2026, 7:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12ab4e587881908bf420c2fe77d0c8 completed May 24, 2026, 7:39 a.m.
Created at: April 27, 2026, 12:26 p.m.