Triple

T23504716
Position Surface form Disambiguated ID Type / Status
Subject MIAT Mongolian Airlines E572249 entity
Predicate IATACode P418 FINISHED
Object OM
OM is the two-letter IATA airline designator assigned to MIAT Mongolian Airlines, the national carrier of Mongolia.
 E1589104 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: OM | Statement: [MIAT Mongolian Airlines, IATACode, OM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OM
Context triple: [MIAT Mongolian Airlines, IATACode, OM]
  • A. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • B. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • C. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • D. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • E. OM
    OM was an Italian manufacturer known for producing vehicles such as the Milan series 1500 Peter Witt trams as well as trucks and other industrial transport equipment.
  • 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: OM
Triple: [MIAT Mongolian Airlines, IATACode, OM]
Generated description
OM is the two-letter IATA airline designator assigned to MIAT Mongolian Airlines, the national carrier of Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OM
Target entity description: OM is the two-letter IATA airline designator assigned to MIAT Mongolian Airlines, the national carrier of Mongolia.
  • A. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • B. OM
    OM is the post-nominal abbreviation used by recipients of the Order of the Cross of Terra Mariana, a high state decoration of Estonia typically awarded to foreign dignitaries for services to the Estonian state.
  • C. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • D. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • E. OM
    OM was an Italian manufacturer known for producing vehicles such as the Milan series 1500 Peter Witt trams as well as trucks and other industrial transport equipment.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fedbec8190b183661edaba4cd4 completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8277b97481909b1405fd7469b910 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f2d4288190b0b5fd46d2a387bf completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7f09af48190b7bfdae25d2f286b completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 6:07 p.m.