Triple

T35495982
Position Surface form Disambiguated ID Type / Status
Subject Franz Xaver von Wulfen E1025863 entity
Predicate hasTaxonNamedAfterHim P74962 FINISHED
Object Ranunculus wulfenianus
Ranunculus wulfenianus is a species of buttercup in the genus Ranunculus, named in honor of the Austrian naturalist Franz Xaver von Wulfen.
E383051 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: Ranunculus wulfenianus | Statement: [Franz Xaver von Wulfen, hasTaxonNamedAfterHim, Ranunculus wulfenianus]
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: Ranunculus wulfenianus
Triple: [Franz Xaver von Wulfen, hasTaxonNamedAfterHim, Ranunculus wulfenianus]
Generated description
Ranunculus wulfenianus is a species of buttercup in the genus Ranunculus, named in honor of the Austrian naturalist Franz Xaver von Wulfen.

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_69f76dfc9c60819089c4217d93922615 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7973333708190b4be5512bee9d807 completed May 3, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384a2ce6dc8190862796cbbfb59f33 completed June 21, 2026, 8:31 p.m.
NEDg Description generation batch_6a384aa84b748190824a5fa4f797bdca completed June 21, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_6a384e5cdc388190b78a84212c06a3ee completed June 21, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:04 p.m.