Triple

T36600150
Position Surface form Disambiguated ID Type / Status
Subject bursa of Fabricius E902893 entity
Predicate roleInImmunity P95985 FINISHED
Object humoral immunity — 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: humoral immunity | Statement: [bursa of Fabricius, roleInImmunity, humoral immunity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInImmunity
Context triple: [bursa of Fabricius, roleInImmunity, humoral immunity]
  • A. immunityType
    Indicates the specific kind or category of immunity that applies in a given context (e.g., legal, diplomatic, medical).
  • B. hasRoleInImmunity chosen
    Indicates that an entity functions in or contributes to an immune-related process or mechanism.
  • C. immunity
    Indicates that an entity is protected against or not affected by a particular agent, condition, or influence.
  • D. roleInVaccineResponse
    Indicates that one entity has a functional or regulatory involvement in the biological response to a vaccine associated with another entity.
  • E. receivedImmunityFrom
    Indicates that one entity has been granted protection or exemption (such as legal, medical, or other forms of immunity) by another entity.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a01a48fbbd481908ccf75551dcf4647 completed May 11, 2026, 9:42 a.m.
PD Predicate disambiguation batch_6a01a2d6db208190b11c1af601a544f5 completed May 11, 2026, 9:35 a.m.
Created at: May 3, 2026, 4:11 p.m.