Triple

T398731
Position Surface form Disambiguated ID Type / Status
Subject Southern Airways Express E9230 entity
Predicate callsign P1565 FINISHED
Object FRIENDLY
FRIENDLY is the airline callsign used by Southern Airways Express, a U.S.-based commuter and regional airline.
E50393 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: FRIENDLY | Statement: [Southern Airways Express, callsign, FRIENDLY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRIENDLY
Context triple: [Southern Airways Express, callsign, FRIENDLY]
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Friendly Games
    The Friendly Games is an informal name for the Commonwealth Games, an international multi-sport event featuring athletes from the Commonwealth of Nations.
  • C. Alright
    "Alright" is a song featured on John Legend's debut studio album "Get Lifted."
  • D. Karen people
    The Karen people are an ethnolinguistic group from Myanmar and Thailand, known for their distinct languages, cultural traditions, and long history of political struggle and displacement.
  • E. Harmonious
    Harmonious was a large-scale nighttime spectacular at EPCOT in Walt Disney World featuring fountains, fireworks, lasers, and Disney music reimagined in multiple languages.
  • 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: FRIENDLY
Triple: [Southern Airways Express, callsign, FRIENDLY]
Generated description
FRIENDLY is the airline callsign used by Southern Airways Express, a U.S.-based commuter and regional airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FRIENDLY
Target entity description: FRIENDLY is the airline callsign used by Southern Airways Express, a U.S.-based commuter and regional airline.
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Friendly Games
    The Friendly Games is an informal name for the Commonwealth Games, an international multi-sport event featuring athletes from the Commonwealth of Nations.
  • C. Alright
    "Alright" is a song featured on John Legend's debut studio album "Get Lifted."
  • D. Karen people
    The Karen people are an ethnolinguistic group from Myanmar and Thailand, known for their distinct languages, cultural traditions, and long history of political struggle and displacement.
  • E. Harmonious
    Harmonious was a large-scale nighttime spectacular at EPCOT in Walt Disney World featuring fountains, fireworks, lasers, and Disney music reimagined in multiple languages.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8d0ca881909d786e8eed9b6748 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad94f88819082f718548331037b completed March 1, 2026, 9:46 a.m.
NEDg Description generation batch_69a40cdbc3d48190be0716621ded5942 completed March 1, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69a40d3376648190aca839b9a56d4edd completed March 1, 2026, 9:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.