Triple

T12544177
Position Surface form Disambiguated ID Type / Status
Subject Yamanaka factors E299917 entity
Predicate componentRole_Klf4 P68445 FINISHED
Object regulator of proliferation and self-renewal 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: regulator of proliferation and self-renewal | Statement: [Yamanaka factors, componentRole_Klf4, regulator of proliferation and self-renewal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: componentRole_Klf4
Context triple: [Yamanaka factors, componentRole_Klf4, regulator of proliferation and self-renewal]
  • A. biologicalRole chosen
    Indicates the functional role or purpose that one biological entity has in relation to another or within a biological process.
  • B. roleInNomenclature
    Indicates the specific function or status an entity holds within a particular naming or classification system.
  • C. cellularComponent
    Indicates the relationship between a biological entity and the specific cellular location or structure in which it is physically present or functions.
  • D. isKeyRole
    Indicates that an entity holds a primary or critically important role within a given context or structure.
  • E. roleInAktionT4
    Indicates that an entity held a specific role or involvement in the Nazi "Aktion T4" euthanasia program.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d95410d0b0819097646edd1b837104 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.