Triple
T8172460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skymark Airlines |
E190855
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
SKYMARK
SKYMARK is the airline callsign used by Skymark Airlines, a Japanese low-cost carrier based in Tokyo.
|
E716122
|
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: SKYMARK | Statement: [Skymark Airlines, callsign, SKYMARK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKYMARK Context triple: [Skymark Airlines, callsign, SKYMARK]
-
A.
Skydancer
Skydancer is the 1993 debut studio album by Swedish melodic death metal band Dark Tranquillity, regarded as an early and influential release in the Gothenburg metal scene.
-
B.
Skylark
"Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
-
C.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
D.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Skylark Three
Skylark Three is a classic early space opera novel by E. E. "Doc" Smith that continues the interstellar adventures begun in his pioneering work Skylark of Space.
- 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: SKYMARK Triple: [Skymark Airlines, callsign, SKYMARK]
Generated description
SKYMARK is the airline callsign used by Skymark Airlines, a Japanese low-cost carrier based in Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKYMARK Target entity description: SKYMARK is the airline callsign used by Skymark Airlines, a Japanese low-cost carrier based in Tokyo.
-
A.
Skydancer
Skydancer is the 1993 debut studio album by Swedish melodic death metal band Dark Tranquillity, regarded as an early and influential release in the Gothenburg metal scene.
-
B.
Skylark
"Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
-
C.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
D.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Skylark Three
Skylark Three is a classic early space opera novel by E. E. "Doc" Smith that continues the interstellar adventures begun in his pioneering work Skylark of Space.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4807c9808190ad91a9c688a4c7fd |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf65ed508190abb60f9189f43e5c |
completed | April 1, 2026, 6:47 a.m. |
| NEDg | Description generation | batch_69ccc312a8608190b899394752ef375f |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd84893488190ae5376524650d5c4 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.