Triple

T37635027
Position Surface form Disambiguated ID Type / Status
Subject Actinomyces E936463 entity
Predicate commensalRole P100570 FINISHED
Object normal oral microbiota 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: normal oral microbiota | Statement: [Actinomyces, commensalRole, normal oral microbiota]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commensalRole
Context triple: [Actinomyces, commensalRole, normal oral microbiota]
  • A. includesCommensal chosen
    Indicates that one entity participates in a commensal relationship with another, benefiting from the association while the other is neither significantly helped nor harmed.
  • B. cohabitsWith
    Indicates that two entities live together in the same dwelling or shared residence.
  • C. notableMutualism
    Indicates a significant mutually beneficial relationship between two entities, where each provides important advantages or services to the other.
  • D. ecologicalRoles
    Indicates the various functional relationships or roles an entity plays within an ecosystem, such as its contributions to energy flow, nutrient cycling, or species interactions.
  • E. isSymbiotic
    Indicates a mutually dependent relationship in which two entities interact in ways that benefit at least one and typically support the survival or well-being of both.
  • 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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:18 p.m.