Triple

T10986114
Position Surface form Disambiguated ID Type / Status
Subject South Atlantic division E259633 entity
Predicate hasAbbreviation P43 FINISHED
Object SA (informal)
SA (informal) is a commonly used abbreviation referring to the South Atlantic division in certain geographic or organizational contexts.
E898210 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: SA (informal) | Statement: [South Atlantic division, hasAbbreviation, SA (informal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SA (informal)
Context triple: [South Atlantic division, hasAbbreviation, SA (informal)]
  • A. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • B. SAA
    SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • C. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • D. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • E. SAL
    SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • 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: SA (informal)
Triple: [South Atlantic division, hasAbbreviation, SA (informal)]
Generated description
SA (informal) is a commonly used abbreviation referring to the South Atlantic division in certain geographic or organizational contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SA (informal)
Target entity description: SA (informal) is a commonly used abbreviation referring to the South Atlantic division in certain geographic or organizational contexts.
  • A. SAA
    SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • B. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • C. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • D. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • E. SAL
    SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b2e4a88190a81504eee77e2298 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344e9c66c81909163cea6aa9276e0 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.