Triple

T36827531
Position Surface form Disambiguated ID Type / Status
Subject Closterium E910049 entity
Predicate cellPolarity P124276 FINISHED
Object bilaterally symmetrical 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: bilaterally symmetrical | Statement: [Closterium, cellPolarity, bilaterally symmetrical]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cellPolarity
Context triple: [Closterium, cellPolarity, bilaterally symmetrical]
  • A. cellularOrganization
    Indicates how the components within a biological cell are structured, arranged, and functionally organized in relation to one another.
  • B. cellSymmetry
    Indicates that two or more cells share the same symmetry properties or exhibit a symmetric spatial or structural relationship.
  • C. cellFateDetermination
    Indicates the process by which a cell’s developmental trajectory is specified, committing it to a particular functional identity or fate.
  • D. cellDivisionMachinery
    Indicates the cellular components and processes that carry out and regulate the physical division of a cell into two daughter cells.
  • E. cellBiologyFeature chosen
    Indicates a relationship where a biological entity possesses or is characterized by a specific cellular-level property, structure, or function.
  • 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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cabacc1481909e839454ce1057f7 completed May 3, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f7c89b528c8190bf80b230fc7c7108 completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:13 p.m.