Triple

T4121033
Position Surface form Disambiguated ID Type / Status
Subject Defense Distinguished Service Medal E92611 entity
Predicate postNominals P1610 FINISHED
Object DDSM E71903 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: DDSM | Statement: [Defense Distinguished Service Medal, postNominals, DDSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DDSM
Context triple: [Defense Distinguished Service Medal, postNominals, DDSM]
  • A. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • B. DSM chosen
    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. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • D. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • E. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0203b8c88190b08dd64800a37168 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576ae8ef08190ba2adcbd2bbe8d35 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.