Triple
T3714229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynx Air |
E81486
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
DAUNTLESS
DAUNTLESS is the radio callsign used by the Canadian low-cost airline Lynx Air for air traffic control communications.
|
E381407
|
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: DAUNTLESS | Statement: [Lynx Air, callsign, DAUNTLESS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAUNTLESS Context triple: [Lynx Air, callsign, DAUNTLESS]
-
A.
Dauntless
Dauntless is the nickname of the Douglas SBD Dauntless, a World War II U.S. Navy dive bomber famed for its decisive role in battles such as Midway.
-
B.
Divergent
Divergent is a 2014 dystopian science-fiction film, based on Veronica Roth’s novel, set in a faction-divided future society and starring Shailene Woodley alongside Kate Winslet.
-
C.
Divergent Series
Divergent Series is a classic mathematical treatise by G. H. Hardy that systematically develops the theory and applications of divergent infinite series.
-
D.
Insurgent
"Insurgent" is a 2015 science-fiction action film based on Veronica Roth's novel, serving as the second installment in the Divergent series.
-
E.
The Darkest Minds
The Darkest Minds is a 2018 dystopian science fiction film, based on Alexandra Bracken’s novel, about superpowered teenagers fighting a repressive government.
- 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: DAUNTLESS Triple: [Lynx Air, callsign, DAUNTLESS]
Generated description
DAUNTLESS is the radio callsign used by the Canadian low-cost airline Lynx Air for air traffic control communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DAUNTLESS Target entity description: DAUNTLESS is the radio callsign used by the Canadian low-cost airline Lynx Air for air traffic control communications.
-
A.
Dauntless
Dauntless is the nickname of the Douglas SBD Dauntless, a World War II U.S. Navy dive bomber famed for its decisive role in battles such as Midway.
-
B.
Divergent
Divergent is a 2014 dystopian science-fiction film, based on Veronica Roth’s novel, set in a faction-divided future society and starring Shailene Woodley alongside Kate Winslet.
-
C.
Divergent Series
Divergent Series is a classic mathematical treatise by G. H. Hardy that systematically develops the theory and applications of divergent infinite series.
-
D.
Insurgent
"Insurgent" is a 2015 science-fiction action film based on Veronica Roth's novel, serving as the second installment in the Divergent series.
-
E.
The Darkest Minds
The Darkest Minds is a 2018 dystopian science fiction film, based on Alexandra Bracken’s novel, about superpowered teenagers fighting a repressive government.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ccfad081908730ed15c6f87ce2 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0c3320819092ca5dd0694e167f |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4ceef46cc819096e0d824153d1544 |
completed | March 14, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cf6c4e5c8190bee35fc33d707823 |
completed | March 14, 2026, 3:01 a.m. |
Created at: March 8, 2026, 3:33 p.m.