Triple

T6862414
Position Surface form Disambiguated ID Type / Status
Subject MEL E158312 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 2
Terminal 2 is one of the main passenger terminals at Melbourne Airport, serving as a key hub for international flights.
E172643 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: [MEL, hasTerminal, Terminal 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Context triple: [MEL, 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 a passenger terminal at El Dorado International Airport in Bogotá, Colombia, serving specific airlines and routes within the airport’s operations.
  • C. 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.
  • D. 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.
  • E. Terminal 2
    Terminal 2 is a secondary passenger terminal at Lisbon’s Humberto Delgado Airport, mainly serving low-cost and regional airlines.
  • 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: [MEL, hasTerminal, Terminal 2]
Generated description
Terminal 2 is one of the main passenger terminals at Melbourne Airport, serving as a key hub for international flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Target entity description: Terminal 2 is one of the main passenger terminals at Melbourne Airport, serving as a key hub for international flights.
  • A. Terminal 2 chosen
    Terminal 2 is the international terminal at Melbourne Airport, serving most of the airport’s overseas flights and related passenger services.
  • B. Terminal 2
    Terminal 2 is a major passenger terminal at Guangzhou Baiyun International Airport, serving as one of the airport’s primary hubs for domestic and international flights.
  • C. Terminal 2
    Terminal 2 is a major domestic passenger terminal at Sydney Kingsford Smith Airport, serving several Australian airlines and regional routes.
  • D. Terminal 2
    Terminal 2 is one of the main passenger terminals at Frankfurt Airport, serving numerous international airlines and handling a significant share of the airport’s global traffic.
  • E. 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.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d887d6648190a0c2d1cb1b284bfe completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74283a6e0819090366d8d677ed4fa completed March 28, 2026, 2:52 a.m.
NEDg Description generation batch_69c742fdbd888190bc5b5ec5e2cbcd6a completed March 28, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69c7436b4aa08190aa5bb222c3c45fa9 completed March 28, 2026, 2:56 a.m.
Created at: March 27, 2026, 2:21 p.m.