Triple

T26642273
Position Surface form Disambiguated ID Type / Status
Subject Yaganti E668812 entity
Predicate famousFor P22 FINISHED
Object Sri Yagantiswamy Temple
Sri Yagantiswamy Temple is an ancient Hindu temple in Andhra Pradesh, India, dedicated to Lord Shiva and renowned for its distinctive rock formations, cave shrines, and growing Nandi idol.
E1794681 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: Sri Yagantiswamy Temple | Statement: [Yaganti, famousFor, Sri Yagantiswamy Temple]
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: Sri Yagantiswamy Temple
Triple: [Yaganti, famousFor, Sri Yagantiswamy Temple]
Generated description
Sri Yagantiswamy Temple is an ancient Hindu temple in Andhra Pradesh, India, dedicated to Lord Shiva and renowned for its distinctive rock formations, cave shrines, and growing Nandi idol.

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_69ee9d0024b8819090a7c8cf669a3b6c completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61632d4908190a3db8fdf80984043 completed May 2, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a130320705c81908a413d19714206c9 completed May 24, 2026, 1:54 p.m.
NEDg Description generation batch_6a1304306b688190b128a526eea2486e completed May 24, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a130625d7a48190a885048db3b29854 completed May 24, 2026, 2:07 p.m.
Created at: April 27, 2026, 2:29 a.m.