Triple

T323417
Position Surface form Disambiguated ID Type / Status
Subject Sheremetyevo International Airport E6463 entity
Predicate IATAcode P418 FINISHED
Object SVO
SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
 E42072 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: SVO | Statement: [Sheremetyevo International Airport, IATAcode, SVO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVO
Context triple: [Sheremetyevo International Airport, IATAcode, SVO]
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • D. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • E. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • 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: SVO
Triple: [Sheremetyevo International Airport, IATAcode, SVO]
Generated description
SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVO
Target entity description: SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • D. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • E. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea82ba748190bae651f5de908617 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe9c66c8190957b2ab7f5bae6fd completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d07284288190bfe67602562ec0b5 completed March 1, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_69a3d0fb4a88819096823bed2d1a65e3 completed March 1, 2026, 5:39 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.