Triple

T5059220
Position Surface form Disambiguated ID Type / Status
Subject Lombok International Airport E113981 entity
Predicate IATAcode P418 FINISHED
Object LOP
LOP is the IATA airport code for Lombok International Airport, the main air gateway to the Indonesian island of Lombok.
 E491242 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: LOP | Statement: [Lombok International Airport, IATAcode, LOP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOP
Context triple: [Lombok International Airport, IATAcode, LOP]
  • A. LOP-G
    LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
  • B. LOPSTR
    LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
  • C. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • D. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • E. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • 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: LOP
Triple: [Lombok International Airport, IATAcode, LOP]
Generated description
LOP is the IATA airport code for Lombok International Airport, the main air gateway to the Indonesian island of Lombok.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOP
Target entity description: LOP is the IATA airport code for Lombok International Airport, the main air gateway to the Indonesian island of Lombok.
  • A. LOP-G
    LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
  • B. LOPSTR
    LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
  • C. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • D. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • E. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7453daac8190b2946702c6c4bd93 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea67c2c3c8190af0caba391bfe69c completed March 21, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69beaa2c9bf88190b9f96474a1b4f13d completed March 21, 2026, 2:24 p.m.
Created at: March 20, 2026, 1:38 p.m.