Triple

T14427003
Position Surface form Disambiguated ID Type / Status
Subject Yersinia outer proteins E357721 entity
Predicate component P35 FINISHED
Object YopK
YopK is a virulence-associated effector protein of Yersinia bacteria that helps regulate the injection of toxins into host cells during infection.
 E1099875 NE FINISHED

How this triple was built (4 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: YopK | Statement: [Yersinia outer proteins, component, YopK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YopK
Context triple: [Yersinia outer proteins, component, YopK]
  • A. YAK
    YAK is the IATA airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
  • B. Yersin
    Yersin is a French surname most notably borne by Alexandre Yersin, the bacteriologist who co-discovered the plague-causing bacterium Yersinia pestis.
  • C. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • D. Yoba
    Yoba is the surname of American actor Malik Yoba, best known for his role on the television series "New York Undercover."
  • E. Yaktaro
    Yaktaro is a traditional Sindhi stringed musical instrument commonly used in folk music and devotional performances.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: YopK
Triple: [Yersinia outer proteins, component, YopK]
Generated description
YopK is a virulence-associated effector protein of Yersinia bacteria that helps regulate the injection of toxins into host cells during infection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YopK
Target entity description: YopK is a virulence-associated effector protein of Yersinia bacteria that helps regulate the injection of toxins into host cells during infection.
  • A. YAK
    YAK is the IATA airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
  • B. Yersin
    Yersin is a French surname most notably borne by Alexandre Yersin, the bacteriologist who co-discovered the plague-causing bacterium Yersinia pestis.
  • C. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • D. Yoba
    Yoba is the surname of American actor Malik Yoba, best known for his role on the television series "New York Undercover."
  • E. Yaktaro
    Yaktaro is a traditional Sindhi stringed musical instrument commonly used in folk music and devotional performances.
  • F. None of above. chosen

Provenance (5 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de911398f08190be85bc0a8bef6b1b completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcfa1d88190b59cefd3e305f55f completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d6af9ac8190a37f11b0f8a1db0f completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5df48f7481909764bc4e23c0b04a completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.