Triple
T14157617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich Airport |
E350853
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | ZRH |
E70621
|
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: ZRH | Statement: [Zurich Airport, IATA code, ZRH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZRH Context triple: [Zurich Airport, IATA code, ZRH]
-
A.
Zurich Airport
chosen
Zurich Airport is Switzerland’s largest and busiest international airport, serving as a major European aviation hub near the city of Zurich.
-
B.
Zurich
Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
-
C.
Zurich Airport International
Zurich Airport International is a global airport development and operations company best known for operating Switzerland’s Zurich Airport and managing international airport projects through public–private partnerships.
-
D.
EuroAirport Basel–Mulhouse–Freiburg
EuroAirport Basel–Mulhouse–Freiburg is a unique tri-national international airport jointly operated by France and Switzerland that serves the Basel, Mulhouse, and Freiburg region.
-
E.
Zug
Zug is a small, affluent Swiss city and canton known for its low taxes, picturesque lakeside setting, and role as a hub for international businesses and cryptocurrency companies.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.