Triple
T18998884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venice Airport System |
E464892
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Nicelli Airport
Nicelli Airport is a small historic airfield serving Venice, Italy, primarily used for general aviation and located on the Lido island.
|
E1353323
|
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: Nicelli Airport | Statement: [Venice Airport System, hasComponent, Nicelli Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicelli Airport Context triple: [Venice Airport System, hasComponent, Nicelli Airport]
-
A.
Muş Airport
Muş Airport is a regional public airport in eastern Turkey that serves the city of Muş and its surrounding area with domestic flights.
-
B.
Lira Airport
Lira Airport is a small public airfield serving the town of Lira in northern Uganda, primarily handling regional and domestic flights.
-
C.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
D.
Uşak Airport
Uşak Airport is a regional public airport serving the city and province of Uşak in western Turkey.
-
E.
Adana Şakirpaşa Airport
Adana Şakirpaşa Airport is a regional airport in Adana, Turkey, serving domestic and limited international flights for the city and surrounding Çukurova region.
- 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: Nicelli Airport Triple: [Venice Airport System, hasComponent, Nicelli Airport]
Generated description
Nicelli Airport is a small historic airfield serving Venice, Italy, primarily used for general aviation and located on the Lido island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicelli Airport Target entity description: Nicelli Airport is a small historic airfield serving Venice, Italy, primarily used for general aviation and located on the Lido island.
-
A.
Muş Airport
Muş Airport is a regional public airport in eastern Turkey that serves the city of Muş and its surrounding area with domestic flights.
-
B.
Lira Airport
Lira Airport is a small public airfield serving the town of Lira in northern Uganda, primarily handling regional and domestic flights.
-
C.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
D.
Uşak Airport
Uşak Airport is a regional public airport serving the city and province of Uşak in western Turkey.
-
E.
Adana Şakirpaşa Airport
Adana Şakirpaşa Airport is a regional airport in Adana, Turkey, serving domestic and limited international flights for the city and surrounding Çukurova region.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45b9ca0819090a85f5708e9c632 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b68205948190a6846e2cd8ba66ae |
completed | May 14, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b73aa91c8190abe816e72d2f56f7 |
completed | May 14, 2026, 11:51 a.m. |
Created at: April 10, 2026, 12:01 p.m.