Triple

T11957705
Position Surface form Disambiguated ID Type / Status
Subject wlroots E284594 entity
Predicate usedBy P260 FINISHED
Object labwc
labwc is a lightweight, stacking window manager for Wayland designed to be compatible with Openbox themes and workflows.
 E956161 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: labwc | Statement: [wlroots, usedBy, labwc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: labwc
Context triple: [wlroots, usedBy, labwc]
  • A. LAB
    LAB is the Amtrak station code for Latrobe station in Latrobe, Pennsylvania, used for ticketing and scheduling purposes.
  • B. LAB
    LAB is a Finnish university of applied sciences offering practice-oriented higher education and research in fields such as business, technology, design, and health.
  • C. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • D. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • E. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • 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: labwc
Triple: [wlroots, usedBy, labwc]
Generated description
labwc is a lightweight, stacking window manager for Wayland designed to be compatible with Openbox themes and workflows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: labwc
Target entity description: labwc is a lightweight, stacking window manager for Wayland designed to be compatible with Openbox themes and workflows.
  • A. LAB
    LAB is a Finnish university of applied sciences offering practice-oriented higher education and research in fields such as business, technology, design, and health.
  • B. LAB
    LAB is the Amtrak station code for Latrobe station in Latrobe, Pennsylvania, used for ticketing and scheduling purposes.
  • C. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • D. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • E. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.