Triple

T29179159
Position Surface form Disambiguated ID Type / Status
Subject Octodontidae E739698 entity
Predicate includesTaxon P1393 FINISHED
Object Octomys
Octomys is a genus of South American desert-dwelling rodents, best known for the viscacha rat species adapted to arid, rocky habitats.
E1867212 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: Octomys | Statement: [Octodontidae, includesTaxon, Octomys]
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: Octomys
Triple: [Octodontidae, includesTaxon, Octomys]
Generated description
Octomys is a genus of South American desert-dwelling rodents, best known for the viscacha rat species adapted to arid, rocky habitats.

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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66343216c81909f1a6503d1538608 completed May 2, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f0ef937081908aaeff1288ac4e11 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f647773c8190b06ba76b03d21919 completed June 7, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a25fab29d588190a93a4b1043036423 completed June 7, 2026, 11:11 p.m.
Created at: April 28, 2026, 11:56 a.m.