Triple

T12355918
Position Surface form Disambiguated ID Type / Status
Subject Rana E294611 entity
Predicate includesSpecies P10920 FINISHED
Object Rana okinavana
Rana okinavana is a species of true frog native to the Ryukyu Islands of Japan, known for inhabiting subtropical forests and wetlands.
 E1015659 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 okinavana | Statement: [Rana, includesSpecies, Rana okinavana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rana okinavana
Context triple: [Rana, includesSpecies, Rana okinavana]
  • A. Rana tagoi
    Rana tagoi is a species of true frog native to East Asia, particularly Japan, known for inhabiting cool, fast-flowing mountain streams.
  • B. Rana kukunoris
    Rana kukunoris is a species of true frog native to high-altitude regions of the Tibetan Plateau in China.
  • C. Rana ridibunda
    Rana ridibunda, commonly known as the marsh frog, is a widespread European water frog species typically found in wetlands, ponds, and rivers.
  • D. Rana japonica
    Rana japonica, commonly known as the Japanese brown frog, is a small amphibian native to Japan’s lowland forests and rice fields.
  • E. Rana amurensis
    Rana amurensis, commonly known as the Amur brown frog, is a cold-tolerant amphibian native to northeastern Asia, particularly found in Russia, China, and Korea.
  • 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 okinavana
Triple: [Rana, includesSpecies, Rana okinavana]
Generated description
Rana okinavana is a species of true frog native to the Ryukyu Islands of Japan, known for inhabiting subtropical forests and wetlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rana okinavana
Target entity description: Rana okinavana is a species of true frog native to the Ryukyu Islands of Japan, known for inhabiting subtropical forests and wetlands.
  • A. Rana tagoi
    Rana tagoi is a species of true frog native to East Asia, particularly Japan, known for inhabiting cool, fast-flowing mountain streams.
  • B. Rana kukunoris
    Rana kukunoris is a species of true frog native to high-altitude regions of the Tibetan Plateau in China.
  • C. Rana ridibunda
    Rana ridibunda, commonly known as the marsh frog, is a widespread European water frog species typically found in wetlands, ponds, and rivers.
  • D. Rana japonica
    Rana japonica, commonly known as the Japanese brown frog, is a small amphibian native to Japan’s lowland forests and rice fields.
  • E. Rana amurensis
    Rana amurensis, commonly known as the Amur brown frog, is a cold-tolerant amphibian native to northeastern Asia, particularly found in Russia, China, and Korea.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d431308190be15e9d9dbee1eaf completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c2a1eaf48190b7905d997423235e completed May 3, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34b9ec08190bb29458b6f43c388 completed May 3, 2026, 3:38 a.m.
Created at: April 8, 2026, 9:54 p.m.