Triple

T1991297
Position Surface form Disambiguated ID Type / Status
Subject Rossiya Airlines E43256 entity
Predicate ICAOCode P419 FINISHED
Object SDM
SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
E222046 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: SDM | Statement: [Rossiya Airlines, ICAOCode, SDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SDM
Context triple: [Rossiya Airlines, ICAOCode, SDM]
  • A. SMDS
    SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
  • B. SDMC
    SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
  • C. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • D. SDU
    SDU is the IATA airport code for Santos Dumont Airport, a major domestic airport serving Rio de Janeiro, Brazil.
  • E. SDF
    SDF is the acronym for the SAARC Development Fund, a regional financial institution that supports social, economic, and infrastructure development projects among South Asian Association for Regional Cooperation member countries.
  • 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: SDM
Triple: [Rossiya Airlines, ICAOCode, SDM]
Generated description
SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SDM
Target entity description: SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
  • A. SMDS
    SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
  • B. SDMC
    SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
  • C. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • D. SDU
    SDU is the IATA airport code for Santos Dumont Airport, a major domestic airport serving Rio de Janeiro, Brazil.
  • E. SDF
    SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8451fe8819093531052f4533c36 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0338631c8190a8c7e5177ac473a8 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03d3c3048190bf9c476bea8c4c1e completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0480bf9081909ee1ba5d5c805ab3 completed March 8, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:37 p.m.