Triple

T33287299
Position Surface form Disambiguated ID Type / Status
Subject Bacteriophage T2 E852212 entity
Predicate hasReceptor P161501 FINISHED
Object E. coli outer membrane proteins — 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: E. coli outer membrane proteins | Statement: [Bacteriophage T2, hasReceptor, E. coli outer membrane proteins]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReceptor
Context triple: [Bacteriophage T2, hasReceptor, E. coli outer membrane proteins]
  • A. hasReceiver
    Indicates that an entity serves as the recipient or target of something provided, sent, or directed by another entity.
  • B. hasReception
    Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
  • C. receptor
    Indicates that one entity functions as a receptor for another, typically binding or receiving a signal, substance, or stimulus from it.
  • D. receptorTypeInteractedWith chosen
    Indicates that one entity has interacted with, bound to, or otherwise engaged a specific type of receptor.
  • E. receptorSystem
    Indicates that one entity functions as a receptor system through which another entity receives, processes, or responds to signals or stimuli.
  • 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_69f349660ff48190a4568803d0b89941 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a036b0755888190a68a673664f0ea46 completed May 12, 2026, 6:01 p.m.
PD Predicate disambiguation batch_6a036228676c8190aac9c90f7d8cedf7 completed May 12, 2026, 5:23 p.m.
Created at: May 1, 2026, 1:32 a.m.