Triple

T29610919
Position Surface form Disambiguated ID Type / Status
Subject Sinsinwar Jat dynasty E754716 entity
Predicate titleOfRulers P10605 FINISHED
Object Maharaja of Bharatpur
The Maharaja of Bharatpur was the hereditary monarch of the princely state of Bharatpur in Rajasthan, historically ruled by the Sinsinwar Jat dynasty.
E1887539 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: Maharaja of Bharatpur | Statement: [Sinsinwar Jat dynasty, titleOfRulers, Maharaja of Bharatpur]
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: Maharaja of Bharatpur
Triple: [Sinsinwar Jat dynasty, titleOfRulers, Maharaja of Bharatpur]
Generated description
The Maharaja of Bharatpur was the hereditary monarch of the princely state of Bharatpur in Rajasthan, historically ruled by the Sinsinwar Jat dynasty.

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_69f0ef85f62081909842b59fdf8717e1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66deaf7ac8190b0be57d7f18d0c9b completed May 2, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5d6b8d88190975bf0683d7b9b7f completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e7ee6cb48190852a9e4071ab0a01 completed June 8, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_6a26e877559c81909febc9c4fbf2abaf completed June 8, 2026, 4:06 p.m.
Created at: April 28, 2026, 6:28 p.m.