Triple

T10752867
Position Surface form Disambiguated ID Type / Status
Subject Scoot E253614 entity
Predicate callsign P1565 FINISHED
Object SCOOTER
SCOOTER is the radio callsign used by the airline Scoot for its flight operations and air traffic communications.
E882796 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: SCOOTER | Statement: [Scoot, callsign, SCOOTER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCOOTER
Context triple: [Scoot, callsign, SCOOTER]
  • A. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • B. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • C. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • D. Segway PT
    The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
  • E. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • 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: SCOOTER
Triple: [Scoot, callsign, SCOOTER]
Generated description
SCOOTER is the radio callsign used by the airline Scoot for its flight operations and air traffic communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SCOOTER
Target entity description: SCOOTER is the radio callsign used by the airline Scoot for its flight operations and air traffic communications.
  • A. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • B. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • C. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • D. Segway PT
    The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
  • E. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb897f7c81909002f2478613eff8 completed April 12, 2026, 5:51 p.m.
NEDg Description generation batch_69dd4367104c8190b83a7877be011b11 completed April 13, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69de01eae1bc819092dcd48328eea943 completed April 14, 2026, 8:59 a.m.
Created at: April 8, 2026, 9:15 p.m.