Triple

T8130952
Position Surface form Disambiguated ID Type / Status
Subject C8 carbine E189849 entity
Predicate hasVariant P455 FINISHED
Object L119A2
L119A2 is a modernized variant of the British special forces’ 5.56mm L119 carbine, featuring updated ergonomics and accessories for improved reliability and modularity.
E713946 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: L119A2 | Statement: [C8 carbine, hasVariant, L119A2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L119A2
Context triple: [C8 carbine, hasVariant, L119A2]
  • A. L119A1
    The L119A1 is a compact 5.56×45mm NATO carbine used primarily by British and Commonwealth special forces for close-quarters and special operations.
  • B. AW119 Koala
    The AW119 Koala is a single-engine, light utility helicopter widely used for roles such as emergency medical services, law enforcement, and executive transport.
  • C. MH-11
    MH-11 is the regional vehicle registration code assigned to motor vehicles registered in the Satara district of Maharashtra, India.
  • D. M-119
    M-119 is a scenic state highway in northern Michigan renowned for its winding "Tunnel of Trees" route along the Lake Michigan shoreline.
  • E. AW159
    The AW159 is a modern British multi-role military helicopter developed by Leonardo for maritime and battlefield reconnaissance, anti-submarine, and anti-surface warfare operations.
  • 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: L119A2
Triple: [C8 carbine, hasVariant, L119A2]
Generated description
L119A2 is a modernized variant of the British special forces’ 5.56mm L119 carbine, featuring updated ergonomics and accessories for improved reliability and modularity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L119A2
Target entity description: L119A2 is a modernized variant of the British special forces’ 5.56mm L119 carbine, featuring updated ergonomics and accessories for improved reliability and modularity.
  • A. L119A1 chosen
    The L119A1 is a compact 5.56×45mm NATO carbine used primarily by British and Commonwealth special forces for close-quarters and special operations.
  • B. AW119 Koala
    The AW119 Koala is a single-engine, light utility helicopter widely used for roles such as emergency medical services, law enforcement, and executive transport.
  • C. MH-11
    MH-11 is the regional vehicle registration code assigned to motor vehicles registered in the Satara district of Maharashtra, India.
  • D. M-119
    M-119 is a scenic state highway in northern Michigan renowned for its winding "Tunnel of Trees" route along the Lake Michigan shoreline.
  • E. AW159
    The AW159 is a modern British multi-role military helicopter developed by Leonardo for maritime and battlefield reconnaissance, anti-submarine, and anti-surface warfare operations.
  • F. None of above.

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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b7dbd881908a80f23090596eae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbec8491c81908362d44c42fc8568 completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc30f1fc48190991e0caa9ea6e735 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd7eca618819081e0c5452c8b1960 completed April 1, 2026, 8:31 a.m.
Created at: March 30, 2026, 5:34 p.m.