Triple

T21213516
Position Surface form Disambiguated ID Type / Status
Subject LAN Argentina E522777 entity
Predicate ICAOcode P419 FINISHED
Object DSM
DSM is the ICAO airline designator assigned to LAN Argentina, a former Argentine subsidiary of LATAM Airlines Group.
 E1472607 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: DSM | Statement: [LAN Argentina, ICAOcode, DSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DSM
Context triple: [LAN Argentina, ICAOcode, 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
    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-II
    DSM-II is the second edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders, reflecting mid-20th-century psychiatric classifications prior to the major revisions introduced in DSM-III.
  • 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: DSM
Triple: [LAN Argentina, ICAOcode, DSM]
Generated description
DSM is the ICAO airline designator assigned to LAN Argentina, a former Argentine subsidiary of LATAM Airlines Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DSM
Target entity description: DSM is the ICAO airline designator assigned to LAN Argentina, a former Argentine subsidiary of LATAM Airlines Group.
  • A. 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.
  • B. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • C. DSM
    DSM is an IBM tool for monitoring, administering, and tuning Db2 database environments through a web-based interface.
  • D. DSM-5
    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-II
    DSM-II is the second edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders, reflecting mid-20th-century psychiatric classifications prior to the major revisions introduced in DSM-III.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347088488190aa764b3f4bbac44d completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed6e6288190a6c0a10338458117 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3:38 p.m.