Triple

T3942817
Position Surface form Disambiguated ID Type / Status
Subject Maharaja E92074 entity
Predicate relatedTitle P914 FINISHED
Object Raja E310655 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: Raja | Statement: [Maharaja, relatedTitle, Raja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raja
Context triple: [Maharaja, relatedTitle, Raja]
  • A. Raja chosen
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • B. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • C. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • D. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • E. Mularaja
    Mularaja was the 10th-century founder of the Chaulukya (Solanki) dynasty in Gujarat, India, known for his patronage of major temples including the famed Somnath Temple.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedff736c8190b22e03d94c40f61a completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533912bf881909e5e5e9e4245edbf completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:24 p.m.