Triple

T973792
Position Surface form Disambiguated ID Type / Status
Subject Special Victims Division E21003 entity
Predicate hasAbbreviation P43 FINISHED
Object SVD
SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
E115321 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: SVD | Statement: [Special Victims Division, hasAbbreviation, SVD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVD
Context triple: [Special Victims Division, hasAbbreviation, SVD]
  • A. SVR
    SVR is Russia’s primary foreign intelligence service, which succeeded the Soviet-era KGB’s external intelligence functions after the USSR’s dissolution.
  • B. SVR
    SVR is the set of post-nominal letters used to denote recipients of the Order of the White Rose of Finland.
  • C. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SD
    SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
  • 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: SVD
Triple: [Special Victims Division, hasAbbreviation, SVD]
Generated description
SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SVD
Target entity description: SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
  • A. SVR
    SVR is the set of post-nominal letters used to denote recipients of the Order of the White Rose of Finland.
  • B. SVR
    SVR is Russia’s primary foreign intelligence service, which succeeded the Soviet-era KGB’s external intelligence functions after the USSR’s dissolution.
  • C. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SD
    SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b45f28f081908d41b2d7f353708d completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170a00f481909da0394531ac24fe completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac18e9be2081909770ab2ead56d0db completed March 7, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac195b7cd08190b2c3f07d7ae849ed completed March 7, 2026, 12:26 p.m.
Created at: March 1, 2026, 7:40 p.m.