Triple

T36670177
Position Surface form Disambiguated ID Type / Status
Subject Tapirus E905389 entity
Predicate includesTaxon P1393 FINISHED
Object Tapirus kabomani
Tapirus kabomani is a small, dark-colored species of tapir from the Amazon region that was only recently described by scientists and is considered one of the most recently identified large mammals.
E2202968 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: Tapirus kabomani | Statement: [Tapirus, includesTaxon, Tapirus kabomani]
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: Tapirus kabomani
Triple: [Tapirus, includesTaxon, Tapirus kabomani]
Generated description
Tapirus kabomani is a small, dark-colored species of tapir from the Amazon region that was only recently described by scientists and is considered one of the most recently identified large mammals.

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_69f76e6f10008190aea41746aa1b186e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c79dede081909607d64d3cd1aeb2 completed May 3, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfac395448190b02067674d300646 completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3dff0e40288190ad49dd8ec53e5934 completed June 26, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a3e065928d08190aed619bf12cf596a completed June 26, 2026, 4:55 a.m.
Created at: May 3, 2026, 4:12 p.m.