Triple
T17674028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDDF |
E440598
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object |
Terminal 1
Terminal 1 is one of the main passenger terminals at Frankfurt Airport, handling a large share of its international and domestic flights.
|
E440599
|
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 1 | Statement: [EDDF, hasTerminal, Terminal 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 1 Context triple: [EDDF, hasTerminal, Terminal 1]
-
A.
Terminal 1
Terminal 1 is one of the main passenger terminals at Manchester Airport, handling a large share of its international and domestic flights.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Paris Charles de Gaulle Airport, known for its distinctive circular design and central location within the airport complex.
-
C.
Terminal 1
Terminal 1 is the main passenger terminal at El Dorado International Airport in Bogotá, Colombia, handling the majority of the airport’s domestic and international flights.
-
D.
Terminal 1
Terminal 1 is a major international passenger terminal at Dubai International Airport that primarily handles flights for numerous international airlines and long-haul routes.
-
E.
Terminal 1
Terminal 1 is the main passenger terminal at Lanzarote Airport, handling the majority of the island’s commercial flights and 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 1 Triple: [EDDF, hasTerminal, Terminal 1]
Generated description
Terminal 1 is one of the main passenger terminals at Frankfurt Airport, handling a large share of its international and domestic flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terminal 1 Target entity description: Terminal 1 is one of the main passenger terminals at Frankfurt Airport, handling a large share of its international and domestic flights.
-
A.
Terminal 1
chosen
Terminal 1 is the main and largest passenger terminal at Frankfurt Airport, serving numerous international and domestic flights with extensive facilities and services.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Munich Airport, handling a large share of its international and European flights.
-
C.
Terminal 1
Terminal 1 is one of the main passenger terminals at Munich Airport, handling a significant share of its international and domestic flights.
-
D.
Terminal 1
Terminal 1 is the main passenger terminal at Berlin Brandenburg Airport, handling the majority of the airport’s check-in, security, and boarding operations.
-
E.
Terminal 1
Terminal 1 is one of the main passenger terminals at Manchester Airport, handling a large share of its 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022323e2c08190b8a86b865a14dbbe |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a0225016e98819080af0ec2aa50aeb4 |
completed | May 11, 2026, 6:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0225751f188190bed9a57a26491122 |
completed | May 11, 2026, 6:52 p.m. |
Created at: April 10, 2026, 10 a.m.