Triple

T11957702
Position Surface form Disambiguated ID Type / Status
Subject wlroots E284594 entity
Predicate usedBy P260 FINISHED
Object Hikari
Hikari is a Wayland compositor for FreeBSD that focuses on simplicity, performance, and tiling window management, built on the wlroots library.
 E956160 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: Hikari | Statement: [wlroots, usedBy, Hikari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hikari
Context triple: [wlroots, usedBy, Hikari]
  • A. Hikari
    Hikari is a high-speed Shinkansen train service in Japan that operates on the Tokaido and Sanyo Shinkansen lines, offering fast intercity travel with fewer stops than local services.
  • B. Hikari
    Hikari is a Japanese given name commonly used for both males and females, meaning "light" in Japanese.
  • C. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • D. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • E. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • 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: Hikari
Triple: [wlroots, usedBy, Hikari]
Generated description
Hikari is a Wayland compositor for FreeBSD that focuses on simplicity, performance, and tiling window management, built on the wlroots library.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hikari
Target entity description: Hikari is a Wayland compositor for FreeBSD that focuses on simplicity, performance, and tiling window management, built on the wlroots library.
  • A. Hikari
    Hikari is a high-speed Shinkansen train service in Japan that operates on the Tokaido and Sanyo Shinkansen lines, offering fast intercity travel with fewer stops than local services.
  • B. Hikari
    Hikari is a Japanese given name commonly used for both males and females, meaning "light" in Japanese.
  • C. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • D. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • E. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • 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.