Triple

T22196814
Position Surface form Disambiguated ID Type / Status
Subject Domodedovo Airlines E548570 entity
Predicate ICAOcode P419 FINISHED
Object DMO
DMO is the ICAO airline designator assigned to the former Russian carrier Domodedovo Airlines.
 E1524800 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: DMO | Statement: [Domodedovo Airlines, ICAOcode, DMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DMO
Context triple: [Domodedovo Airlines, ICAOcode, DMO]
  • A. DMO
    DMO is the station code for Damoh railway station, a regional rail hub in the Indian state of Madhya Pradesh.
  • B. DMO
    DMO is the commonly used abbreviation for the UK Debt Management Office, the government agency responsible for managing the United Kingdom’s debt and cash needs.
  • C. DGMO
    DGMO is the senior military officer responsible for overseeing and coordinating a nation's army operational planning and conduct of military operations.
  • D. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • E. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • 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: DMO
Triple: [Domodedovo Airlines, ICAOcode, DMO]
Generated description
DMO is the ICAO airline designator assigned to the former Russian carrier Domodedovo Airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DMO
Target entity description: DMO is the ICAO airline designator assigned to the former Russian carrier Domodedovo Airlines.
  • A. DMO
    DMO is the commonly used abbreviation for the UK Debt Management Office, the government agency responsible for managing the United Kingdom’s debt and cash needs.
  • B. DMO
    DMO is the station code for Damoh railway station, a regional rail hub in the Indian state of Madhya Pradesh.
  • C. DGMO
    DGMO is the senior military officer responsible for overseeing and coordinating a nation's army operational planning and conduct of military operations.
  • D. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • E. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae7c72081909b7817d66391bef4 completed April 28, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa6108d6c81909c285bf42ca89060 completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa703d5c4819080b7e255318b94cf completed May 18, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa7ab0d108190a907cba7075bddd8 completed May 18, 2026, 5:46 a.m.
Created at: April 16, 2026, 8:35 p.m.