Triple
T3023448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airport (film score) |
E82518
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Airport (franchise) |
E185797
|
NE FINISHED |
How this triple was built (2 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: Airport (franchise) | Statement: [Airport (film score), partOf, Airport (franchise)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airport (franchise) Context triple: [Airport (film score), partOf, Airport (franchise)]
-
A.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
B.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
C.
Airport Express
Airport Express is a high-speed rail service in Hong Kong that links the city center with Hong Kong International Airport.
-
D.
Terminal 2E
Terminal 2E is a major international passenger terminal at Paris Charles de Gaulle Airport, known for handling many long-haul and Air France flights.
-
E.
Airport 1975
chosen
Airport 1975 is a 1974 American disaster film and sequel in the Airport series, best known for its midair collision plot and ensemble cast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9ab8e0a48190ac79e674abd181cf |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deafdcb881908174331d5bfc6349 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3 p.m.