Triple
T12355920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rana |
E294611
|
entity |
| Predicate | includesSpecies |
P10920
|
FINISHED |
| Object |
Rana uenoi
Rana uenoi is a species of true frog in the genus Rana, native to parts of East Asia and typically associated with freshwater habitats.
|
E1020328
|
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 uenoi | Statement: [Rana, includesSpecies, Rana uenoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rana uenoi Context triple: [Rana, includesSpecies, Rana uenoi]
-
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 okinavana
Rana okinavana is a species of true frog native to the Ryukyu Islands of Japan, known for inhabiting subtropical forests and wetlands.
-
D.
Rana tsushimensis
Rana tsushimensis is a species of true frog endemic to Tsushima Island in Japan, known for inhabiting streams and forested wetlands.
-
E.
Rana ridibunda
Rana ridibunda, commonly known as the marsh frog, is a widespread European water frog species typically found in wetlands, ponds, and rivers.
- 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 uenoi Triple: [Rana, includesSpecies, Rana uenoi]
Generated description
Rana uenoi is a species of true frog in the genus Rana, native to parts of East Asia and typically associated with freshwater habitats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rana uenoi Target entity description: Rana uenoi is a species of true frog in the genus Rana, native to parts of East Asia and typically associated with freshwater habitats.
-
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 okinavana
Rana okinavana is a species of true frog native to the Ryukyu Islands of Japan, known for inhabiting subtropical forests and wetlands.
-
D.
Rana tsushimensis
Rana tsushimensis is a species of true frog endemic to Tsushima Island in Japan, known for inhabiting streams and forested wetlands.
-
E.
Rana ridibunda
Rana ridibunda, commonly known as the marsh frog, is a widespread European water frog species typically found in wetlands, ponds, and rivers.
- 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_69f6d5e627b4819084c830f4a46a8cda |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6db65879c819092387e028b792ab9 |
completed | May 3, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6dbec7e808190a7cee821ba193bb8 |
completed | May 3, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:54 p.m.