Triple

T25879919
Position Surface form Disambiguated ID Type / Status
Subject Gunaga Vijayaditya III E652018 entity
Predicate successor P78 FINISHED
Object Kali Vishnuvardhana V
Kali Vishnuvardhana V was a regional Indian monarch who succeeded Gunaga Vijayaditya III, continuing the dynastic lineage and political legacy established by his predecessor.
 E1702683 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: Kali Vishnuvardhana V | Statement: [Gunaga Vijayaditya III, successor, Kali Vishnuvardhana V]
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: Kali Vishnuvardhana V
Triple: [Gunaga Vijayaditya III, successor, Kali Vishnuvardhana V]
Generated description
Kali Vishnuvardhana V was a regional Indian monarch who succeeded Gunaga Vijayaditya III, continuing the dynastic lineage and political legacy established by his predecessor.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6033d54948190a52da9e6bef00afa completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1107660ac0819081c99efb10f47ecc completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a11084f81b0819097ab28a73ad970cb completed May 23, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_6a1108d6dbfc8190b95ecc9466e182b9 completed May 23, 2026, 1:54 a.m.
Created at: April 22, 2026, 8:16 a.m.