Triple

T316277
Position Surface form Disambiguated ID Type / Status
Subject Domodedovo International Airport E7713 entity
Predicate IATAcode P418 FINISHED
Object DME
DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
 E40628 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: DME | Statement: [Domodedovo International Airport, IATAcode, DME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DME
Context triple: [Domodedovo International Airport, IATAcode, DME]
  • A. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • B. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • C. DESE
    DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
  • D. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • E. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • 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: DME
Triple: [Domodedovo International Airport, IATAcode, DME]
Generated description
DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DME
Target entity description: DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • A. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • B. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • C. DESE
    DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
  • D. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • E. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c41c00888190861d2b6d4bfc8904 completed March 1, 2026, 4:44 a.m.
NEDg Description generation batch_69a3c5cca244819082e9565558f23dbe completed March 1, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_69a3c64599ac81908e30e5452cc91b97 completed March 1, 2026, 4:53 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.