Triple

T20576372
Position Surface form Disambiguated ID Type / Status
Subject System Use Sharing Protocol E505227 entity
Predicate abbreviation P43 FINISHED
Object SUSP
SUSP is a protocol used in ISO 9660 file systems to support extended file system features and metadata beyond the standard specification.
 E1438399 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: SUSP | Statement: [System Use Sharing Protocol, abbreviation, SUSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUSP
Context triple: [System Use Sharing Protocol, abbreviation, SUSP]
  • A. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • B. SUS
    SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • C. SUS
    SUS is a major Swedish university hospital and medical research center located in the Skåne region.
  • D. SUS
    SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
  • E. SUSU
    SUSU is the students' union representing and supporting students at the University of Southampton through services, activities, and advocacy.
  • 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: SUSP
Triple: [System Use Sharing Protocol, abbreviation, SUSP]
Generated description
SUSP is a protocol used in ISO 9660 file systems to support extended file system features and metadata beyond the standard specification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUSP
Target entity description: SUSP is a protocol used in ISO 9660 file systems to support extended file system features and metadata beyond the standard specification.
  • A. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • B. SUS
    SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • C. SUS
    SUS is a major Swedish university hospital and medical research center located in the Skåne region.
  • D. SUS
    SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
  • E. SUSU
    SUSU is the students' union representing and supporting students at the University of Southampton through services, activities, and advocacy.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90af3608190955d2c7950726178 completed April 20, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08ace8a1d881908a8b178308c7b202 completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ad96b2a081908d32e335c5265eec completed May 16, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08ae19eca08190ada48b48105be62d completed May 16, 2026, 5:49 p.m.
Created at: April 16, 2026, 11:39 a.m.