Triple

T13311527
Position Surface form Disambiguated ID Type / Status
Subject Skyros Island National Airport E317076 entity
Predicate IATAcode P418 FINISHED
Object SKU
SKU is the three-letter IATA airport code assigned to Skyros Island National Airport in Greece.
E1033230 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: SKU | Statement: [Skyros Island National Airport, IATAcode, SKU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKU
Context triple: [Skyros Island National Airport, IATAcode, SKU]
  • A. SKU
    SKU is the three-letter ICAO airline designator assigned to Sky Airline, used in aviation operations and air traffic control.
  • B. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • C. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • D. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • E. UPC
    UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
  • 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: SKU
Triple: [Skyros Island National Airport, IATAcode, SKU]
Generated description
SKU is the three-letter IATA airport code assigned to Skyros Island National Airport in Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SKU
Target entity description: SKU is the three-letter IATA airport code assigned to Skyros Island National Airport in Greece.
  • A. SKU
    SKU is the three-letter ICAO airline designator assigned to Sky Airline, used in aviation operations and air traffic control.
  • B. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • C. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • D. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • E. UPC
    UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b868608190971c38f26b61cf28 completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:29 p.m.