Triple

T3369509
Position Surface form Disambiguated ID Type / Status
Subject Rajputs E70918 entity
Predicate title P38 FINISHED
Object Rana E23832 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: Rana | Statement: [Rajputs, title, Rana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rana
Context triple: [Rajputs, title, Rana]
  • A. Rana
    Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
  • B. Rana chosen
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • C. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • D. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • E. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2b9b1fc8190a2cbf040ea808baf completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334396f588190add5c0c27949650c completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.