Triple

T31297387
Position Surface form Disambiguated ID Type / Status
Subject Maharashtra river system E798115 entity
Predicate hasMajorRiver P165 FINISHED
Object Vashishti River
The Vashishti River is a prominent west-flowing river in Maharashtra, India, known for draining the Konkan region and supporting surrounding agriculture and settlements before emptying into the Arabian Sea.
E2289848 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: Vashishti River | Statement: [Maharashtra river system, hasMajorRiver, Vashishti River]
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: Vashishti River
Triple: [Maharashtra river system, hasMajorRiver, Vashishti River]
Generated description
The Vashishti River is a prominent west-flowing river in Maharashtra, India, known for draining the Konkan region and supporting surrounding agriculture and settlements before emptying into the Arabian Sea.

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_69f224e0bd4c8190aab9b29a73f7aa3c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e31c0ac8190a39cff8445b2ede0 completed May 3, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5b72abd76c81908362db460bc90639 completed July 18, 2026, 12:33 p.m.
NEDg Description generation batch_6a5b73146f808190a113ee0b8947ee44 completed July 18, 2026, 12:35 p.m.
NED2 Entity disambiguation (via description) batch_6a5b73bd0ba081909c96f74abc00eb9c completed July 18, 2026, 12:38 p.m.
Created at: April 29, 2026, 9:14 p.m.