Triple
T12411052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayseri Erkilet Airport |
E296513
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ASR
ASR is the IATA airport code for Kayseri Erkilet Airport, a commercial airport serving the city of Kayseri in central Turkey.
|
E982599
|
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: ASR | Statement: [Kayseri Erkilet Airport, IATAcode, ASR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASR Context triple: [Kayseri Erkilet Airport, IATAcode, ASR]
-
A.
ASR
ASR is the Indian Railways station code for Amritsar Junction, a major railway hub in the city of Amritsar, Punjab.
-
B.
ASR
ASR is Microsoft's cloud-based disaster recovery service that orchestrates and automates the replication and failover of workloads to Azure to ensure business continuity.
-
C.
Warwick ASR
Warwick ASR was a maritime reconnaissance and air-sea rescue variant of the British Vickers Warwick aircraft used during World War II.
-
D.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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: ASR Triple: [Kayseri Erkilet Airport, IATAcode, ASR]
Generated description
ASR is the IATA airport code for Kayseri Erkilet Airport, a commercial airport serving the city of Kayseri in central Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASR Target entity description: ASR is the IATA airport code for Kayseri Erkilet Airport, a commercial airport serving the city of Kayseri in central Turkey.
-
A.
ASR
ASR is the Indian Railways station code for Amritsar Junction, a major railway hub in the city of Amritsar, Punjab.
-
B.
ASR
ASR is Microsoft's cloud-based disaster recovery service that orchestrates and automates the replication and failover of workloads to Azure to ensure business continuity.
-
C.
Warwick ASR
Warwick ASR was a maritime reconnaissance and air-sea rescue variant of the British Vickers Warwick aircraft used during World War II.
-
D.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348af5a8819083a075d145b15fd4 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f638cbb6dc8190a80ffe3430337855 |
completed | May 2, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6397a3458819095b94ae7f9d5f106 |
completed | May 2, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:55 p.m.