Triple
T11642649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innsbruck Airport |
E276694
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
INN
INN is the IATA airport code for Innsbruck Airport, the main international airport serving Innsbruck and the Tyrol region of Austria.
|
E938711
|
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: INN | Statement: [Innsbruck Airport, IATAcode, INN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INN Context triple: [Innsbruck Airport, IATAcode, INN]
-
A.
INN
INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
-
B.
Inn
The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
C.
Via Inn
Via Inn is a Japanese business hotel chain operated by JR-West Hotels, known for its convenient locations near train stations and practical, budget-friendly accommodations.
-
D.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
-
E.
Innwa
Innwa is the historical city in Myanmar that served as the capital of several Burmese kingdoms, including the Kingdom of Ava.
- 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: INN Triple: [Innsbruck Airport, IATAcode, INN]
Generated description
INN is the IATA airport code for Innsbruck Airport, the main international airport serving Innsbruck and the Tyrol region of Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INN Target entity description: INN is the IATA airport code for Innsbruck Airport, the main international airport serving Innsbruck and the Tyrol region of Austria.
-
A.
INN
INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
-
B.
Inn
The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
C.
Via Inn
Via Inn is a Japanese business hotel chain operated by JR-West Hotels, known for its convenient locations near train stations and practical, budget-friendly accommodations.
-
D.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
-
E.
Innwa
Innwa is the historical city in Myanmar that served as the capital of several Burmese kingdoms, including the Kingdom of Ava.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cb4ca88190a9322f08416d3974 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87ecbcac8190bb71a248d3601f8d |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.