Triple

T2745054
Position Surface form Disambiguated ID Type / Status
Subject California red-legged frog E60845 entity
Predicate genus P87 FINISHED
Object 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.
 E294611 NE FINISHED

How this triple was built (4 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: [California red-legged frog, genus, Rana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rana
Context triple: [California red-legged frog, genus, Rana]
  • A. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • B. 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.
  • C. 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.
  • D. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • E. Tunga
    Tunga was a pioneering Brazilian contemporary artist known for his enigmatic sculptures, installations, and performances that blended alchemy, mythology, and psychoanalytic themes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rana
Triple: [California red-legged frog, genus, Rana]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rana
Target entity description: 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.
  • A. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • B. 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.
  • C. 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.
  • D. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • E. Tunga
    Tunga was a pioneering Brazilian contemporary artist known for his enigmatic sculptures, installations, and performances that blended alchemy, mythology, and psychoanalytic themes.
  • F. None of above. chosen

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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4d37a481908cc2ad4666f3ac94 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbcebe788190aa2b40158b64b7b2 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbceb981c819095038ac01d98fb45 completed March 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69afbd5e28f481909d82e42c33e4ef86 completed March 10, 2026, 6:42 a.m.
Created at: March 6, 2026, 9:56 p.m.