Triple

T1835191
Position Surface form Disambiguated ID Type / Status
Subject z/OS E41049 entity
Predicate supports P516 FINISHED
Object WLM
WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
E206671 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: WLM | Statement: [z/OS, supports, WLM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WLM
Context triple: [z/OS, supports, WLM]
  • A. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • B. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • E. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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: WLM
Triple: [z/OS, supports, WLM]
Generated description
WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WLM
Target entity description: WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
  • A. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • B. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • E. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb026aa7c8190bc988d3ee0fd9f41 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b4b4f08190a0e5ad50de5c0ba8 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcd9359b88190ad312ff0389ff1a6 completed March 8, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69adce11558c8190bd8c6341837eb792 completed March 8, 2026, 7:29 p.m.
Created at: March 4, 2026, 7:33 p.m.