Triple

T37893642
Position Surface form Disambiguated ID Type / Status
Subject Horkelia E945213 entity
Predicate hasSpecies P965 FINISHED
Object Horkelia truncata
Horkelia truncata is a species of flowering plant in the rose family, native to western North America and known for its clustered, dissected leaves and small white to pinkish flowers.
E2254496 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: Horkelia truncata | Statement: [Horkelia, hasSpecies, Horkelia truncata]
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: Horkelia truncata
Triple: [Horkelia, hasSpecies, Horkelia truncata]
Generated description
Horkelia truncata is a species of flowering plant in the rose family, native to western North America and known for its clustered, dissected leaves and small white to pinkish flowers.

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_69f76ef0e8708190987c7254ed8c7abe completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd36fa188190b41cc1251f4b336b completed May 6, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415d1c9f748190a87010559e1c7ad4 completed June 28, 2026, 5:42 p.m.
NEDg Description generation batch_6a415dfc9b308190b75033cd89dd1a1f completed June 28, 2026, 5:46 p.m.
NED2 Entity disambiguation (via description) batch_6a415f4dfcf4819080739f521d4af061 completed June 28, 2026, 5:52 p.m.
Created at: May 3, 2026, 4:19 p.m.