Triple
T13592102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich Airport International |
E324716
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ZAI
ZAI is the commonly used abbreviation for Zurich Airport International, the company that operates and manages Zurich Airport and related aviation services.
|
E1048035
|
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: ZAI | Statement: [Zurich Airport International, abbreviation, ZAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZAI Context triple: [Zurich Airport International, abbreviation, ZAI]
-
A.
ZI
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
-
B.
AZI
AZI is the IATA airport code for Al Bateen Executive Airport in Abu Dhabi, United Arab Emirates.
-
C.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
D.
ZIA
ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
-
E.
ZIY
ZIY is the IATA airport code assigned to Gare des Aubrais-Orléans, a major railway station serving the Orléans area in France.
- 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: ZAI Triple: [Zurich Airport International, abbreviation, ZAI]
Generated description
ZAI is the commonly used abbreviation for Zurich Airport International, the company that operates and manages Zurich Airport and related aviation services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZAI Target entity description: ZAI is the commonly used abbreviation for Zurich Airport International, the company that operates and manages Zurich Airport and related aviation services.
-
A.
ZI
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
-
B.
AZI
AZI is the IATA airport code for Al Bateen Executive Airport in Abu Dhabi, United Arab Emirates.
-
C.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
D.
ZIA
ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
-
E.
ZIY
ZIY is the IATA airport code assigned to Gare des Aubrais-Orléans, a major railway station serving the Orléans area in France.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77643b0348190962bf23a9857edbe |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7792601748190ba2b95fbfc9f8a3a |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.