Triple

T34528240
Position Surface form Disambiguated ID Type / Status
Subject Sadasivpet E886462 entity
Predicate region P40 FINISHED
Object Telangana Plateau
The Telangana Plateau is a highland region in south-central India characterized by its undulating terrain, hard rock formations, and semi-arid climate, forming part of the larger Deccan Plateau.
E2101247 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: Telangana Plateau | Statement: [Sadasivpet, region, Telangana Plateau]
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: Telangana Plateau
Triple: [Sadasivpet, region, Telangana Plateau]
Generated description
The Telangana Plateau is a highland region in south-central India characterized by its undulating terrain, hard rock formations, and semi-arid climate, forming part of the larger Deccan Plateau.

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_69f349cd7c148190aa99192b126d1527 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71fbc58f48190baaaa8570c96da6d completed May 3, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729e8ffc881908a699f8102f7c6db completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372a9fffa481909279c5fd09903e91 completed June 21, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a372b3eb16c8190bd4546837763231c completed June 21, 2026, 12:07 a.m.
Created at: May 1, 2026, 2:02 a.m.