Triple
T15709116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airlink |
E380788
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
LINK
LINK is the radio callsign used by the Irish regional airline Airlink for air traffic control communications.
|
E1172661
|
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: LINK | Statement: [Airlink, callsign, LINK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LINK Context triple: [Airlink, callsign, LINK]
-
A.
Linky
Linky is a French smart electricity meter system deployed nationwide to enable remote readings, real-time consumption monitoring, and improved grid management.
-
B.
The Link
The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
-
C.
i.LINK
i.LINK is Sony’s brand name for the IEEE 1394 high-speed serial bus interface used for connecting digital audio, video, and data devices.
-
D.
U Link
U Link is a successor student-focused service platform that continues and modernizes the functions previously provided under the name University Link.
-
E.
LinkPass
LinkPass is a type of transit fare product used within the same system as the CharlieTicket, providing riders with a pass-based option for public transportation access.
- 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: LINK Triple: [Airlink, callsign, LINK]
Generated description
LINK is the radio callsign used by the Irish regional airline Airlink for air traffic control communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LINK Target entity description: LINK is the radio callsign used by the Irish regional airline Airlink for air traffic control communications.
-
A.
Linky
Linky is a French smart electricity meter system deployed nationwide to enable remote readings, real-time consumption monitoring, and improved grid management.
-
B.
The Link
The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
-
C.
i.LINK
i.LINK is Sony’s brand name for the IEEE 1394 high-speed serial bus interface used for connecting digital audio, video, and data devices.
-
D.
U Link
U Link is a successor student-focused service platform that continues and modernizes the functions previously provided under the name University Link.
-
E.
LinkPass
LinkPass is a type of transit fare product used within the same system as the CharlieTicket, providing riders with a pass-based option for public transportation access.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8d8b648190842c635f2ae7bfa4 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757b7e0c81909b32aecc093c93e4 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff76deb1948190bc49825719ac97d5 |
completed | May 9, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff77642ba4819095c1acc65da06135 |
completed | May 9, 2026, 6:05 p.m. |
Created at: April 10, 2026, 4:45 a.m.