Triple

T1741822
Position Surface form Disambiguated ID Type / Status
Subject Pudu puda E38249 entity
Predicate genus P87 FINISHED
Object Pudu
Pudu is a genus of the world’s smallest deer, native to the temperate rainforests of South America.
E193032 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: Pudu | Statement: [Pudu puda, genus, Pudu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pudu
Context triple: [Pudu puda, genus, Pudu]
  • A. Pongo
    Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
  • B. Patagonian mara
    The Patagonian mara is a large, long-legged rodent native to Argentina that resembles a small deer or hare and is known for its monogamous pairs and fast, bounding gait across open scrublands.
  • C. Vicuña
    Vicuña is a small Chilean town in the Elqui Valley, known for its clear skies, observatories, and production of pisco.
  • D. Vicugna pacos
    Vicugna pacos, commonly known as the alpaca, is a domesticated South American camelid prized for its soft, luxurious fiber and often kept in herds in the Andes.
  • E. Guanaco
    The guanaco is a wild South American camelid, closely related to the llama, known for its slender build, fine wool, and adaptation to arid and high-altitude environments.
  • 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: Pudu
Triple: [Pudu puda, genus, Pudu]
Generated description
Pudu is a genus of the world’s smallest deer, native to the temperate rainforests of South America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pudu
Target entity description: Pudu is a genus of the world’s smallest deer, native to the temperate rainforests of South America.
  • A. Pongo
    Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
  • B. Patagonian mara
    The Patagonian mara is a large, long-legged rodent native to Argentina that resembles a small deer or hare and is known for its monogamous pairs and fast, bounding gait across open scrublands.
  • C. Vicuña
    Vicuña is a small Chilean town in the Elqui Valley, known for its clear skies, observatories, and production of pisco.
  • D. Vicugna pacos
    Vicugna pacos, commonly known as the alpaca, is a domesticated South American camelid prized for its soft, luxurious fiber and often kept in herds in the Andes.
  • E. Guanaco
    The guanaco is a wild South American camelid, closely related to the llama, known for its slender build, fine wool, and adaptation to arid and high-altitude environments.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c6d21c8190809bedaa798e2b14 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b060d64819096ba0522ccce9145 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957f64c48190862a701a94098bbf completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b974708190adfffebee41a6fcd completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.