Triple

T32337293
Position Surface form Disambiguated ID Type / Status
Subject School of Environmental and Biological Sciences E826208 entity
Predicate hasUnit P35 FINISHED
Object Department of Plant Biology
The Department of Plant Biology is an academic unit focused on research and education in plant science within the School of Environmental and Biological Sciences.
E2002170 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: Department of Plant Biology | Statement: [School of Environmental and Biological Sciences, hasUnit, Department of Plant Biology]
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: Department of Plant Biology
Triple: [School of Environmental and Biological Sciences, hasUnit, Department of Plant Biology]
Generated description
The Department of Plant Biology is an academic unit focused on research and education in plant science within the School of Environmental and Biological Sciences.

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_69f34913d9048190befaa634025232be completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6be1a509081909f9821b36e9f9837 completed May 3, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3057283bd0819091b28cd0ed1ac837 completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a305fd3fb4c81909addd45e71304664 completed June 15, 2026, 8:25 p.m.
NED2 Entity disambiguation (via description) batch_6a30606681748190b69350f9ca12d264 completed June 15, 2026, 8:28 p.m.
Created at: May 1, 2026, 12:48 a.m.