Triple

T31940134
Position Surface form Disambiguated ID Type / Status
Subject Colobus E815501 entity
Predicate includesSpecies P10920 FINISHED
Object Colobus vellerosus
Colobus vellerosus, commonly known as the white-thighed colobus, is an Old World monkey species native to West African forests and savannas, recognized for its striking black-and-white fur and arboreal lifestyle.
E815501 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: Colobus vellerosus | Statement: [Colobus, includesSpecies, Colobus vellerosus]
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: Colobus vellerosus
Triple: [Colobus, includesSpecies, Colobus vellerosus]
Generated description
Colobus vellerosus, commonly known as the white-thighed colobus, is an Old World monkey species native to West African forests and savannas, recognized for its striking black-and-white fur and arboreal lifestyle.

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_69f348f3035c81908558e2339955abb3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2713c2881909e4d5e80aed67f09 completed May 3, 2026, 2:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0bb4ca808190a9938c115ea3cd89 completed June 14, 2026, 8:14 p.m.
NEDg Description generation batch_6a2f0c5dba788190b3ba409c76fcf63b completed June 14, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a2f0cdc1b048190a34f78a36bf5bb0a completed June 14, 2026, 8:19 p.m.
Created at: May 1, 2026, 12:05 a.m.