Triple
T17455744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reno Air Races |
E425022
|
entity |
| Predicate | hasRaceClass |
P49213
|
FINISHED |
| Object |
Jet Class
Jet Class is a racing category at the Reno Air Races featuring high-speed competition between jet-powered aircraft.
|
E1269827
|
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: Jet Class | Statement: [Reno Air Races, hasRaceClass, Jet Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet Class Context triple: [Reno Air Races, hasRaceClass, Jet Class]
-
A.
The Jet
The Jet was the nickname of Joe Perry, a Hall of Fame NFL fullback renowned for his speed and success with the San Francisco 49ers in the 1950s.
-
B.
Delta Flyer
The Delta Flyer is a specially designed, high-performance shuttlecraft from Star Trek: Voyager, notable for its advanced technology and frequent use on critical away missions.
-
C.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
D.
Quinjet
The Quinjet is a technologically advanced jet aircraft used by Marvel's Avengers for high-speed transport and combat missions.
-
E.
Jet Airliner
"Jet Airliner" is a popular rock song by the Steve Miller Band, best known for its catchy chorus and frequent radio play since the late 1970s.
- 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: Jet Class Triple: [Reno Air Races, hasRaceClass, Jet Class]
Generated description
Jet Class is a racing category at the Reno Air Races featuring high-speed competition between jet-powered aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jet Class Target entity description: Jet Class is a racing category at the Reno Air Races featuring high-speed competition between jet-powered aircraft.
-
A.
The Jet
The Jet was the nickname of Joe Perry, a Hall of Fame NFL fullback renowned for his speed and success with the San Francisco 49ers in the 1950s.
-
B.
Delta Flyer
The Delta Flyer is a specially designed, high-performance shuttlecraft from Star Trek: Voyager, notable for its advanced technology and frequent use on critical away missions.
-
C.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
D.
Quinjet
The Quinjet is a technologically advanced jet aircraft used by Marvel's Avengers for high-speed transport and combat missions.
-
E.
Jet Airliner
"Jet Airliner" is a popular rock song by the Steve Miller Band, best known for its catchy chorus and frequent radio play since the late 1970s.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45141e1d48190b7de9159f1fd71fa |
completed | April 19, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b0007a748190832a795448a1cfc4 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0cd1df481908c760bdfcacba496 |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b208e6d8819080a363da368ec2e9 |
completed | May 11, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:47 a.m.