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.