Triple

T29154790
Position Surface form Disambiguated ID Type / Status
Subject Reactome pathways E739006 entity
Predicate crossReferencedWith P111150 FINISHED
Object NCBI BioSystems
NCBI BioSystems is a database from the National Center for Biotechnology Information that aggregates and links biological pathways, complexes, and other systems-level information from multiple source databases to support integrated analysis of molecular and genomic data.
E1852486 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: NCBI BioSystems | Statement: [Reactome pathways, crossReferencedWith, NCBI BioSystems]
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: NCBI BioSystems
Triple: [Reactome pathways, crossReferencedWith, NCBI BioSystems]
Generated description
NCBI BioSystems is a database from the National Center for Biotechnology Information that aggregates and links biological pathways, complexes, and other systems-level information from multiple source databases to support integrated analysis of molecular and genomic data.

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_69f07cb46f148190874eb8576a447567 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6e3dcad948190b0ab0de6f9d18a3e completed May 3, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a255068d91c8190843dbe0ef8d63f1c completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554b16b8481908ffb9447fb3f35a5 completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e69dfc81908eea54a231ab38e7 completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 11:44 a.m.