Triple

T23194521
Position Surface form Disambiguated ID Type / Status
Subject Armstrong Siddeley Sapphire E579838 entity
Predicate alsoKnownAs P39 FINISHED
Object ASSa
ASSa is an abbreviation for the Armstrong Siddeley Sapphire, a British turbojet aircraft engine developed in the mid-20th century.
 E1573481 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: ASSa | Statement: [Armstrong Siddeley Sapphire, alsoKnownAs, ASSa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASSa
Context triple: [Armstrong Siddeley Sapphire, alsoKnownAs, ASSa]
  • A. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • B. ASSM
    ASSM is the abbreviation for the Swiss Academy of Medical Sciences, a leading Swiss institution that promotes medical research, ethics, and healthcare policy.
  • C. AcSS
    AcSS is the commonly used abbreviation for the Academy of Social Sciences, the UK’s national academy promoting and representing the social sciences.
  • D. SA5
    SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
  • E. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • 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: ASSa
Triple: [Armstrong Siddeley Sapphire, alsoKnownAs, ASSa]
Generated description
ASSa is an abbreviation for the Armstrong Siddeley Sapphire, a British turbojet aircraft engine developed in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASSa
Target entity description: ASSa is an abbreviation for the Armstrong Siddeley Sapphire, a British turbojet aircraft engine developed in the mid-20th century.
  • A. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • B. ASSM
    ASSM is the abbreviation for the Swiss Academy of Medical Sciences, a leading Swiss institution that promotes medical research, ethics, and healthcare policy.
  • C. AcSS
    AcSS is the commonly used abbreviation for the Academy of Social Sciences, the UK’s national academy promoting and representing the social sciences.
  • D. SA5
    SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
  • E. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fda64cc8190aeb5ccd8d8d20858 completed April 29, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30bcb5d4819088b89ef3aa187791 completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c3283a77081908369f2b8cb78c781 completed May 19, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c331f08248190a6fa671734fca280 completed May 19, 2026, 9:53 a.m.
Created at: April 17, 2026, 4:06 p.m.