Triple
T14922046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fly540 |
E371537
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
SWIFT TANGO
SWIFT TANGO is the radio callsign used by the Kenyan low-cost airline Fly540 for air traffic control communications.
|
E1126552
|
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: SWIFT TANGO | Statement: [Fly540, callsign, SWIFT TANGO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWIFT TANGO Context triple: [Fly540, callsign, SWIFT TANGO]
-
A.
Mango Tango
"Mango Tango" is a Latin jazz album by saxophonist and composer Ed Calle, showcasing his energetic, melody-driven style and fusion of jazz with Caribbean and Latin rhythms.
-
B.
Whiskey Tango Foxtrot
"Whiskey Tango Foxtrot" is a 2016 war comedy-drama film starring Tina Fey as a journalist covering the war in Afghanistan, based on Kim Barker's memoir "The Taliban Shuffle."
-
C.
Swang
"Swang" is a popular hip-hop single by the duo Rae Sremmurd, featuring melodic vocals from Swae Lee and known for its catchy hook and laid-back production.
-
D.
Three to Tango
Three to Tango is a 1999 romantic comedy film starring Matthew Perry as an architect mistaken for a gay man while falling for his client’s girlfriend.
-
E.
Taranga
Taranga is a figure in Polynesian mythology known as the mother of the culture hero and demigod Māui.
- 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: SWIFT TANGO Triple: [Fly540, callsign, SWIFT TANGO]
Generated description
SWIFT TANGO is the radio callsign used by the Kenyan low-cost airline Fly540 for air traffic control communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SWIFT TANGO Target entity description: SWIFT TANGO is the radio callsign used by the Kenyan low-cost airline Fly540 for air traffic control communications.
-
A.
Mango Tango
"Mango Tango" is a Latin jazz album by saxophonist and composer Ed Calle, showcasing his energetic, melody-driven style and fusion of jazz with Caribbean and Latin rhythms.
-
B.
Whiskey Tango Foxtrot
"Whiskey Tango Foxtrot" is a 2016 war comedy-drama film starring Tina Fey as a journalist covering the war in Afghanistan, based on Kim Barker's memoir "The Taliban Shuffle."
-
C.
Swang
"Swang" is a popular hip-hop single by the duo Rae Sremmurd, featuring melodic vocals from Swae Lee and known for its catchy hook and laid-back production.
-
D.
Three to Tango
Three to Tango is a 1999 romantic comedy film starring Matthew Perry as an architect mistaken for a gay man while falling for his client’s girlfriend.
-
E.
Taranga
Taranga is a figure in Polynesian mythology known as the mother of the culture hero and demigod Māui.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7477270c819094a908a05143619d |
completed | May 8, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7542e5948190866991cabdf97f0e |
completed | May 8, 2026, 11:44 p.m. |
Created at: April 10, 2026, 2:34 a.m.