Triple
T12475135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAKS Air Show |
E298155
|
entity |
| Predicate | typicalAerobaticTeams |
P2085
|
FINISHED |
| Object |
Swifts
Swifts is a renowned Russian military aerobatic display team known for performing precision maneuvers in fighter jets at major air shows.
|
E985293
|
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: Swifts | Statement: [MAKS Air Show, typicalAerobaticTeams, Swifts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swifts Context triple: [MAKS Air Show, typicalAerobaticTeams, Swifts]
-
A.
Swallows
The Swallows are a group of adventurous children who sail and camp in Arthur Ransome’s classic “Swallows and Amazons” series.
-
B.
Flying Swallow
Flying Swallow is a poetic Japanese given name often associated with grace, speed, and agility, evoking the image of a swift, elegant bird in flight.
-
C.
Martlets
Martlets is the name of McGill University's women's varsity sports teams, known for their strong athletic tradition in Canadian university sports.
-
D.
Redwing
Redwing is Sam Wilson's advanced drone companion, often depicted as a high-tech robotic bird that assists him in reconnaissance and combat.
-
E.
Starling
Starling is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
- 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: Swifts Triple: [MAKS Air Show, typicalAerobaticTeams, Swifts]
Generated description
Swifts is a renowned Russian military aerobatic display team known for performing precision maneuvers in fighter jets at major air shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swifts Target entity description: Swifts is a renowned Russian military aerobatic display team known for performing precision maneuvers in fighter jets at major air shows.
-
A.
Swallows
The Swallows are a group of adventurous children who sail and camp in Arthur Ransome’s classic “Swallows and Amazons” series.
-
B.
Flying Swallow
Flying Swallow is a poetic Japanese given name often associated with grace, speed, and agility, evoking the image of a swift, elegant bird in flight.
-
C.
Martlets
Martlets is the name of McGill University's women's varsity sports teams, known for their strong athletic tradition in Canadian university sports.
-
D.
Redwing
Redwing is Sam Wilson's advanced drone companion, often depicted as a high-tech robotic bird that assists him in reconnaissance and combat.
-
E.
Starling
Starling is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f25462881908dccb831b474875d |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f64278823c81908db729497000a2e4 |
completed | May 2, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f643089abc8190b366e777ef48982a |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 8, 2026, 9:56 p.m.