Triple

T8108258
Position Surface form Disambiguated ID Type / Status
Subject American Psychiatric Association E189279 entity
Predicate abbreviation P43 FINISHED
Object DSM E197593 NE 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: DSM | Statement: [American Psychiatric Association, abbreviation, DSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSM
Context triple: [American Psychiatric Association, abbreviation, DSM]
  • A. DSM
    DSM is an IBM tool for monitoring, administering, and tuning Db2 database environments through a web-based interface.
  • B. DSM
    The DSM is a high-level United States Army military decoration awarded for exceptionally meritorious service to the government in a duty of great responsibility.
  • C. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • D. DSM-5 chosen
    DSM-5 is the fifth edition of the American Psychiatric Association’s Diagnostic and Statistical Manual, serving as the primary reference for the classification and diagnosis of mental disorders.
  • E. DSM-IV
    DSM-IV is the fourth edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders, which provided standardized criteria for classifying mental health conditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fa40e08190955fccec1a28eb34 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94198fdc8190bcf3c6285e52fdd3 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.