Triple
T4071435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Václav Havel Airport Prague |
E86655
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object |
Terminal 2
Terminal 2 is a passenger terminal at Václav Havel Airport Prague primarily serving flights within the Schengen Area.
|
E413618
|
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: [Václav Havel Airport Prague, hasTerminal, Terminal 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 Context triple: [Václav Havel Airport Prague, 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: [Václav Havel Airport Prague, hasTerminal, Terminal 2]
Generated description
Terminal 2 is a passenger terminal at Václav Havel Airport Prague primarily serving flights within the Schengen Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 Target entity description: Terminal 2 is a passenger terminal at Václav Havel Airport Prague primarily serving flights within the Schengen Area.
-
A.
Terminal 2
Terminal 2 is one of the main passenger terminals at Vienna International Airport, serving as a hub for check-in, security, and boarding operations for various airlines.
-
B.
Terminal 2
Terminal 2 is one of the main passenger terminals at Hamburg Airport, handling check-in, security, and boarding for various domestic and international flights.
-
C.
Terminal 2
Terminal 2 is one of the main passenger terminals at Cairo International Airport, serving a mix of international and regional flights.
-
D.
Terminal 2
Terminal 2 is the main passenger terminal complex at Budapest Ferenc Liszt International Airport, handling the majority of the airport’s commercial flights and services.
-
E.
Terminal 2
Terminal 2 is one of the main passenger terminals at Zurich Airport, handling a significant share of the airport’s check-in, security, and boarding operations.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b501c008190ac115240328c6fc9 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56f1a5e348190801c63c00b838f3c |
completed | March 14, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56f7f1f7881909c8003e4e498fac5 |
completed | March 14, 2026, 2:23 p.m. |
Created at: March 9, 2026, 3:38 p.m.