Triple

T18808702
Position Surface form Disambiguated ID Type / Status
Subject FlySafair E459946 entity
Predicate callsign P1565 FINISHED
Object SAFAIR
SAFAIR is the radio callsign used by FlySafair, a South African low-cost airline.
E1344489 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: SAFAIR | Statement: [FlySafair, callsign, SAFAIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAFAIR
Context triple: [FlySafair, callsign, SAFAIR]
  • A. SAF
    SAF is the three-letter IATA airport code for Santa Fe Regional Airport in Santa Fe, New Mexico.
  • B. SAF
    SAF is the acronym for the Singapore Armed Forces, the military organization responsible for the defense of Singapore.
  • C. SAF
    SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
  • D. SAFC
    SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
  • E. SAFC
    SAFC is the commonly used abbreviation for San Antonio FC, a professional soccer club based in San Antonio, Texas, that competes in the USL Championship.
  • 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: SAFAIR
Triple: [FlySafair, callsign, SAFAIR]
Generated description
SAFAIR is the radio callsign used by FlySafair, a South African low-cost airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAFAIR
Target entity description: SAFAIR is the radio callsign used by FlySafair, a South African low-cost airline.
  • A. SAF
    SAF is the three-letter IATA airport code for Santa Fe Regional Airport in Santa Fe, New Mexico.
  • B. SAF
    SAF is the acronym for the Singapore Armed Forces, the military organization responsible for the defense of Singapore.
  • C. SAF
    SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
  • D. SAFC
    SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
  • E. SAFC
    SAFC is the commonly used abbreviation for San Antonio FC, a professional soccer club based in San Antonio, Texas, that competes in the USL Championship.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d9c49c8190a9d29a25f0c977b2 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bc1fc4881909628d71314b4d76a completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055f4a93f4819092054e1a4f49fef1 completed May 14, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a055feac66c819095d9b852086296b5 completed May 14, 2026, 5:38 a.m.
Created at: April 10, 2026, 11:53 a.m.