Triple

T27110691
Position Surface form Disambiguated ID Type / Status
Subject Vishwamitri River E686701 entity
Predicate partOf P40 FINISHED
Object Vishwamitri river basin
The Vishwamitri river basin is the catchment area in Gujarat, India, that drains rainfall and surface water into the Vishwamitri River and supports the surrounding ecosystems and human settlements.
 E1759144 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: Vishwamitri river basin | Statement: [Vishwamitri River, partOf, Vishwamitri river basin]
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: Vishwamitri river basin
Triple: [Vishwamitri River, partOf, Vishwamitri river basin]
Generated description
The Vishwamitri river basin is the catchment area in Gujarat, India, that drains rainfall and surface water into the Vishwamitri River and supports the surrounding ecosystems and human settlements.

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_69ef148accd48190b6ed6e13a15f2a4f completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f624025ea481909d00a21db223006c completed May 2, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253754bd08190b55bed1f5eca0093 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a125433c0288190ab1e54c3d763468d completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254fc697c8190baf4f8adefcea4d2 completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 8:53 a.m.