Triple

T36599201
Position Surface form Disambiguated ID Type / Status
Subject MAPK signaling pathway E902874 entity
Predicate hasSubPathway P200609 FINISHED
Object p38 MAPK pathway
The p38 MAPK pathway is a stress-activated signaling cascade that regulates cellular responses such as inflammation, apoptosis, and differentiation in reaction to environmental and physiological stimuli.
 E2190170 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: p38 MAPK pathway | Statement: [MAPK signaling pathway, hasSubPathway, p38 MAPK pathway]
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: p38 MAPK pathway
Triple: [MAPK signaling pathway, hasSubPathway, p38 MAPK pathway]
Generated description
The p38 MAPK pathway is a stress-activated signaling cascade that regulates cellular responses such as inflammation, apoptosis, and differentiation in reaction to environmental and physiological stimuli.

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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff9b6a5f688190ae6ec7dbf529b841 completed May 9, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f9249b14819095d190d150395eb3 completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39f9f41ac481908d438b5abb623a43 completed June 23, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a39faf7f4b08190b433e3a77f32bedd completed June 23, 2026, 3:18 a.m.
Created at: May 3, 2026, 4:11 p.m.