Triple

T25598768
Position Surface form Disambiguated ID Type / Status
Subject Dudhwa National Park E641728 entity
Predicate river P165 FINISHED
Object Suheli River
The Suheli River is a river flowing through the Dudhwa National Park in Uttar Pradesh, India, forming an important water source and habitat for the park’s rich wildlife.
 E2201705 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: Suheli River | Statement: [Dudhwa National Park, river, Suheli 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: Suheli River
Triple: [Dudhwa National Park, river, Suheli River]
Generated description
The Suheli River is a river flowing through the Dudhwa National Park in Uttar Pradesh, India, forming an important water source and habitat for the park’s rich wildlife.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a53aa48190b935de0228cb5be3 completed May 2, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde3b26208190bb6200dedb79d2a4 completed June 26, 2026, 2:04 a.m.
NEDg Description generation batch_6a3ddeeb3e188190beb8c8e0b0cfff8a completed June 26, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a3df4440fe881908f09bcfd56aea205 completed June 26, 2026, 3:38 a.m.
Created at: April 21, 2026, 4:30 p.m.