Triple

T6734567
Position Surface form Disambiguated ID Type / Status
Subject Dublin Airport E153719 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 2
Terminal 2 is a modern passenger terminal at Dublin Airport that primarily serves major international and transatlantic flights.
E162975 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 2 | Statement: [Dublin Airport, hasTerminal, Terminal 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Context triple: [Dublin Airport, hasTerminal, Terminal 2]
  • A. Terminal 2
    Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
  • B. Terminal 2
    Terminal 2 is one of the main passenger terminals at Ontario International Airport in Southern California, serving domestic airline operations and traveler services.
  • C. Terminal 2
    Terminal 2 is one of the passenger terminals at Chicago O'Hare International Airport, serving various domestic and regional flights with multiple concourses and airline operations.
  • D. Terminal 2
    Terminal 2 is a secondary passenger terminal at Lisbon’s Humberto Delgado Airport, mainly serving low-cost and regional airlines.
  • E. Terminal 2
    Terminal 2 is one of the main passenger terminals at Oakland International Airport, serving commercial airline flights and associated traveler services.
  • 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 2
Triple: [Dublin Airport, hasTerminal, Terminal 2]
Generated description
Terminal 2 is a modern passenger terminal at Dublin Airport that primarily serves major international and transatlantic flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Target entity description: Terminal 2 is a modern passenger terminal at Dublin Airport that primarily serves major international and transatlantic flights.
  • A. Terminal 2 chosen
    Terminal 2 is a modern passenger terminal at Dublin Airport that primarily serves major international and transatlantic flights.
  • B. Terminal 2
    Terminal 2 is one of the main passenger terminals at London Heathrow Airport, serving as a major hub for several international airlines and Star Alliance carriers.
  • C. Terminal 2
    Terminal 2 is one of the main passenger terminals at Helsinki Airport, serving as a hub for many international and Schengen flights with modern facilities and services.
  • D. Terminal 2
    Terminal 2 is the international terminal at Melbourne Airport, serving most of the airport’s overseas flights and related passenger services.
  • E. Terminal 2
    Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
  • F. None of above.

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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16ecbe08190b019d547f631a725 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713306b5081908161d3ec6a64cc85 completed March 27, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69c713de76d081908b275590d311d5fd completed March 27, 2026, 11:33 p.m.
Created at: March 27, 2026, 2:09 p.m.