Triple

T406097
Position Surface form Disambiguated ID Type / Status
Subject Special Air Service E9386 entity
Predicate hasSquadron P1198 FINISHED
Object 22 SAS E51379 NE FINISHED

How this triple was built (3 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: 22 SAS | Statement: [Special Air Service, hasSquadron, 22 SAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 22 SAS
Context triple: [Special Air Service, hasSquadron, 22 SAS]
  • A. SAS chosen
    SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
  • B. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • C. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • D. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • E. SSA
    SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSquadron
Context triple: [Special Air Service, hasSquadron, 22 SAS]
  • A. hasMilitaryDivision
    Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
  • B. militaryOrganization
    Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
  • C. hasCadetBranch
    Indicates that one lineage, family, or house is a junior or offshoot branch derived from another main or senior line.
  • D. hasSpecialUnit chosen
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • E. hasCommander
    Indicates that one entity serves as the commanding officer or leader of another entity.
  • F. None of above.

Provenance (4 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbc00508190bbb602179273f29c completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4177659408190807396f029f3e4e6 completed March 1, 2026, 10:39 a.m.
PD Predicate disambiguation batch_69a2e971a3a481909e6b075f25dd234a completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.