Triple

T1675687
Position Surface form Disambiguated ID Type / Status
Subject Mehrabad International Airport E36225 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 5
Terminal 5 is a passenger terminal facility at Mehrabad International Airport in Tehran, Iran.
 E192481 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: Terminal 5 | Statement: [Mehrabad International Airport, hasTerminal, Terminal 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal 5
Context triple: [Mehrabad International Airport, hasTerminal, Terminal 5]
  • A. Terminal 5
    Terminal 5 is the international terminal at Chicago O'Hare International Airport, serving most of the airport’s non-domestic and many foreign-flag carriers.
  • B. Terminal 5
    Terminal 5 is a major passenger terminal at John F. Kennedy International Airport in New York City, known for serving as the primary hub for JetBlue Airways.
  • C. Terminal 5
    Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
  • D. Terminal 5
    Terminal 5 is a dedicated passenger terminal at Rome’s Leonardo da Vinci–Fiumicino Airport, primarily used for certain international and long-haul flights.
  • E. Terminal 5
    Terminal 5 is one of the passenger terminals at Los Angeles International Airport, serving a mix of domestic and some international flights with various airlines and amenities.
  • 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: Terminal 5
Triple: [Mehrabad International Airport, hasTerminal, Terminal 5]
Generated description
Terminal 5 is a passenger terminal facility at Mehrabad International Airport in Tehran, Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terminal 5
Target entity description: Terminal 5 is a passenger terminal facility at Mehrabad International Airport in Tehran, Iran.
  • A. Terminal 5
    Terminal 5 is a dedicated passenger terminal at Rome’s Leonardo da Vinci–Fiumicino Airport, primarily used for certain international and long-haul flights.
  • B. Terminal 5
    Terminal 5 is the international terminal at Chicago O'Hare International Airport, serving most of the airport’s non-domestic and many foreign-flag carriers.
  • C. Terminal 5
    Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
  • D. Terminal 5
    Terminal 5 is one of the passenger terminals at Los Angeles International Airport, serving a mix of domestic and some international flights with various airlines and amenities.
  • E. Terminal 5
    Terminal 5 is the main international passenger terminal at Stockholm Arlanda Airport, handling a large share of the airport’s long-haul and major European flights.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625cb1a08190bf7b138c5bfb90b2 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac15c3c8190ba730217efd69a77 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad9575acf88190aa3fe80794534dd4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a7128c819097ff36216f00d4f9 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:29 p.m.