Triple

T37449662
Position Surface form Disambiguated ID Type / Status
Subject Bacteria E930642 entity
Predicate hasMembraneBoundOrganelles P50713 FINISHED
Object Absent 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: Absent | Statement: [Bacteria, hasMembraneBoundOrganelles, Absent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMembraneBoundOrganelles
Context triple: [Bacteria, hasMembraneBoundOrganelles, Absent]
  • A. hasOrganelleType
    Indicates that an entity possesses or includes a specific type of organelle as part of its structure.
  • B. isMulticellular
    Indicates that an organism consists of multiple cells organized into a single functional individual.
  • C. isEukaryote chosen
    Indicates that an organism belongs to the domain of life characterized by cells with a true nucleus and membrane-bound organelles.
  • D. cellStructure
    Indicates the structural organization, components, and physical arrangement that make up a cell.
  • E. hasOuterMembrane
    Indicates that an entity possesses an outer membrane surrounding its main cellular or structural body.
  • 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_69f76ec0b9488190b7a4fae632bd1d2f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff8cecbf048190860b9f72b8753f5c completed May 9, 2026, 7:37 p.m.
PD Predicate disambiguation batch_69ff8c4c39dc8190b5bf35adc1bae7c6 completed May 9, 2026, 7:34 p.m.
Created at: May 3, 2026, 4:17 p.m.