Triple

T6358974
Position Surface form Disambiguated ID Type / Status
Subject Beslan Airport E143061 entity
Predicate IATAcode P418 FINISHED
Object OGZ
OGZ is the IATA airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia, Russia.
E587518 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: OGZ | Statement: [Beslan Airport, IATAcode, OGZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OGZ
Context triple: [Beslan Airport, IATAcode, OGZ]
  • A. O’G3NE
    O’G3NE is a Dutch girl group of three sisters known for their powerful harmonies and success on televised singing competitions.
  • B. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • C. OG
    OG is the commonly used abbreviation for the Astronomical Observatory of the University of Warsaw, a major Polish center for astronomical research and education.
  • D. OZP
    OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
  • E. OZ
    OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
  • 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: OGZ
Triple: [Beslan Airport, IATAcode, OGZ]
Generated description
OGZ is the IATA airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OGZ
Target entity description: OGZ is the IATA airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia, Russia.
  • A. O’G3NE
    O’G3NE is a Dutch girl group of three sisters known for their powerful harmonies and success on televised singing competitions.
  • B. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • C. OG
    OG is the commonly used abbreviation for the Astronomical Observatory of the University of Warsaw, a major Polish center for astronomical research and education.
  • D. OZP
    OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
  • E. OZ
    OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f72f8481908f9df0c0cdf22a52 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d66a8a08190b52bb8302787dac5 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62e430ac08190bacf74f6086b2ac5 completed March 27, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69c62f03ea408190a0959b8f2aa746c1 completed March 27, 2026, 7:17 a.m.
Created at: March 22, 2026, 4:32 p.m.