Triple

T26199730
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Sindh E655196 entity
Predicate precededBy P97 FINISHED
Object Rai dynasty
The Rai dynasty was an early ruling family in the Sindh region of the Indian subcontinent, known for establishing one of the first organized Hindu kingdoms there before later dynasties and Islamic conquests.
E1716161 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: Rai dynasty | Statement: [Kingdom of Sindh, precededBy, Rai dynasty]
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: Rai dynasty
Triple: [Kingdom of Sindh, precededBy, Rai dynasty]
Generated description
The Rai dynasty was an early ruling family in the Sindh region of the Indian subcontinent, known for establishing one of the first organized Hindu kingdoms there before later dynasties and Islamic conquests.

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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60cd9e50481908d1559e6ec048bc1 completed May 2, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1185822d388190b3a272f8edf4acb9 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a1187b8aea88190b6ec7b999d2b37eb completed May 23, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_6a1188a2ea6081909e575aff107859ab completed May 23, 2026, 10:59 a.m.
Created at: April 26, 2026, 8:47 p.m.