Triple

T27112502
Position Surface form Disambiguated ID Type / Status
Subject Siladitya III E686751 entity
Predicate associatedWith P37 FINISHED
Object Vallabhi inscriptions
The Vallabhi inscriptions are a series of ancient epigraphic records from the Vallabhi region in western India that document the political, religious, and administrative activities of its ruling dynasties.
E1756181 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: Vallabhi inscriptions | Statement: [Siladitya III, associatedWith, Vallabhi inscriptions]
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: Vallabhi inscriptions
Triple: [Siladitya III, associatedWith, Vallabhi inscriptions]
Generated description
The Vallabhi inscriptions are a series of ancient epigraphic records from the Vallabhi region in western India that document the political, religious, and administrative activities of its ruling dynasties.

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_69f624035024819084f7dc62bad39773 completed May 2, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1248102ff48190af3071a9004e92f5 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a12488822208190aab1355ac3efd2a6 completed May 24, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a124935c01c8190b9d6d13c4f50a104 completed May 24, 2026, 12:41 a.m.
Created at: April 27, 2026, 8:54 a.m.