Triple

T22692340
Position Surface form Disambiguated ID Type / Status
Subject SMN1 E561082 entity
Predicate relatedPathway P38196 FINISHED
Object mRNA splicing via spliceosome LITERAL 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: mRNA splicing via spliceosome | Statement: [SMN1, relatedPathway, mRNA splicing via spliceosome]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedPathway
Context triple: [SMN1, relatedPathway, mRNA splicing via spliceosome]
  • A. regulatoryPathway
    Indicates that one entity is part of, or participates in, a biological or organizational regulatory pathway that controls the activity, expression, or behavior of another.
  • B. hasPathway
    Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
  • C. supportsPathway chosen
    Indicates that one entity contributes to, enables, or maintains the functioning or progression of a specified pathway.
  • D. relatedPass
    Indicates that one pass is associated with or connected to another pass in some relevant way.
  • E. relatedIntermediate
    Indicates an indirect or intermediate relationship between two entities, typically via one or more other entities or steps rather than a direct connection.
  • F. None of above.

Provenance (3 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789ba0148190891781d05ec64f3c completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:13 p.m.