Triple

T8130949
Position Surface form Disambiguated ID Type / Status
Subject C8 carbine E189849 entity
Predicate hasVariant P455 FINISHED
Object C8 SFW
C8 SFW is a compact, short-barreled special forces variant of the C8 carbine designed for improved maneuverability and close-quarters combat.
 E713945 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: C8 SFW | Statement: [C8 carbine, hasVariant, C8 SFW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C8 SFW
Context triple: [C8 carbine, hasVariant, C8 SFW]
  • A. C8
    C8 is the informal name for the Council of Cardinals, a group of senior advisers chosen by the Pope to help him govern and reform the Roman Catholic Church.
  • B. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • C. CWF
    CWF is the station code for Canary Wharf DLR station, a key stop on London's Docklands Light Railway serving the Canary Wharf business district.
  • D. C2F
    C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
  • E. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • 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: C8 SFW
Triple: [C8 carbine, hasVariant, C8 SFW]
Generated description
C8 SFW is a compact, short-barreled special forces variant of the C8 carbine designed for improved maneuverability and close-quarters combat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C8 SFW
Target entity description: C8 SFW is a compact, short-barreled special forces variant of the C8 carbine designed for improved maneuverability and close-quarters combat.
  • A. C8
    C8 is the informal name for the Council of Cardinals, a group of senior advisers chosen by the Pope to help him govern and reform the Roman Catholic Church.
  • B. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • C. CWF
    CWF is the station code for Canary Wharf DLR station, a key stop on London's Docklands Light Railway serving the Canary Wharf business district.
  • D. C2F
    C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
  • E. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • 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_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_69cc947a7354819088c6f3cc6ab677cf completed April 1, 2026, 3:43 a.m.
NEDg Description generation batch_69cc95c0b19881908521cce5ac0fe197 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970698f88190a0869515904e50e3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:34 p.m.