Triple

T34826340
Position Surface form Disambiguated ID Type / Status
Subject Raniji ki Baori E1003934 entity
Predicate builtFor P1261 FINISHED
Object royal family of Bundi
The royal family of Bundi was the ruling dynasty of the Bundi princely state in Rajasthan, India, known for its patronage of distinctive Rajput architecture, stepwells, and miniature painting.
E2112772 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: royal family of Bundi | Statement: [Raniji ki Baori, builtFor, royal family of Bundi]
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: royal family of Bundi
Triple: [Raniji ki Baori, builtFor, royal family of Bundi]
Generated description
The royal family of Bundi was the ruling dynasty of the Bundi princely state in Rajasthan, India, known for its patronage of distinctive Rajput architecture, stepwells, and miniature painting.

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_69f76db7d1b4819093bd4912d80d845d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f77ae15e048190aeb34fa18d7fc9fc completed May 3, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fbf5bec81909d073cbf535cef89 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37703823ac81908261228f65fcfa4b completed June 21, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a377178c0b88190b9182e381ed323da completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 4 p.m.