Triple

T12980960
Position Surface form Disambiguated ID Type / Status
Subject Society for Vascular Surgery E321649 entity
Predicate abbreviation P43 FINISHED
Object SVS
SVS is a professional medical society representing vascular surgeons and advancing the science, education, and practice of vascular surgery.
 E1013883 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: SVS | Statement: [Society for Vascular Surgery, abbreviation, SVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVS
Context triple: [Society for Vascular Surgery, abbreviation, SVS]
  • A. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • B. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • C. SBSV
    SBSV is the ICAO airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
  • D. VSM
    VSM is the station code for Valley Stream station on the Long Island Rail Road in New York.
  • E. VSM
    VSM is a post-nominal military decoration of India awarded for distinguished service of a high order to all ranks of the armed forces.
  • 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: SVS
Triple: [Society for Vascular Surgery, abbreviation, SVS]
Generated description
SVS is a professional medical society representing vascular surgeons and advancing the science, education, and practice of vascular surgery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVS
Target entity description: SVS is a professional medical society representing vascular surgeons and advancing the science, education, and practice of vascular surgery.
  • A. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • B. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • C. SBSV
    SBSV is the ICAO airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
  • D. VSM
    VSM is the station code for Valley Stream station on the Long Island Rail Road in New York.
  • E. VSM
    VSM is a post-nominal military decoration of India awarded for distinguished service of a high order to all ranks of the armed forces.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5b993481908f94fe096ade441b completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f200c88190a2aab15373cbedf5 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:39 p.m.