Triple

T29495095
Position Surface form Disambiguated ID Type / Status
Subject Mangalagiri E748197 entity
Predicate partOf P40 FINISHED
Object Amaravati metropolitan region
Amaravati metropolitan region is a planned urban agglomeration in Andhra Pradesh, India, centered around the new state capital of Amaravati and encompassing nearby towns and cities.
E1869446 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: Amaravati metropolitan region | Statement: [Mangalagiri, partOf, Amaravati metropolitan region]
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: Amaravati metropolitan region
Triple: [Mangalagiri, partOf, Amaravati metropolitan region]
Generated description
Amaravati metropolitan region is a planned urban agglomeration in Andhra Pradesh, India, centered around the new state capital of Amaravati and encompassing nearby towns and cities.

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_69f0bd448c6881908aa6b475cefd5ddc completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c0e07e48190a1a5554455766b30 completed May 2, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f12ba7cc8190a88755ca103e27fe completed June 7, 2026, 10:31 p.m.
NEDg Description generation batch_6a25f5aca5e08190979b3eda92550523 completed June 7, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a25f981161481908aeb778528321059 completed June 7, 2026, 11:06 p.m.
Created at: April 28, 2026, 4:18 p.m.