Triple

T9097265
Position Surface form Disambiguated ID Type / Status
Subject KDE Applications E218058 entity
Predicate includes P1393 FINISHED
Object Dolphin
Dolphin is a lightweight, user-friendly file manager for the KDE Plasma desktop environment, offering advanced navigation and file organization features.
 E777925 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: Dolphin | Statement: [KDE Applications, includes, Dolphin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dolphin
Context triple: [KDE Applications, includes, Dolphin]
  • A. Dolphin
    Dolphin was the internal codename used by Nintendo during the development of the GameCube console.
  • B. Delfini
    Delfini is the nickname of Italian football club Delfino Pescara 1936, reflecting the club’s dolphin-themed identity.
  • C. Dolphins
    Dolphins are a South African domestic cricket team based in Durban that competes in the country’s professional provincial competitions.
  • D. Dolphins
    The Dolphins are the athletic teams representing California State University Channel Islands in intercollegiate sports.
  • E. Dolphins
    The Dolphins are a professional rugby league team based in Redcliffe, Queensland, competing in Australia's National Rugby League (NRL) competition.
  • 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: Dolphin
Triple: [KDE Applications, includes, Dolphin]
Generated description
Dolphin is a lightweight, user-friendly file manager for the KDE Plasma desktop environment, offering advanced navigation and file organization features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dolphin
Target entity description: Dolphin is a lightweight, user-friendly file manager for the KDE Plasma desktop environment, offering advanced navigation and file organization features.
  • A. Dolphin
    Dolphin was the internal codename used by Nintendo during the development of the GameCube console.
  • B. Delfini
    Delfini is the nickname of Italian football club Delfino Pescara 1936, reflecting the club’s dolphin-themed identity.
  • C. Dolphins
    Dolphins are a South African domestic cricket team based in Durban that competes in the country’s professional provincial competitions.
  • D. Dolphins
    The Dolphins are the athletic teams representing California State University Channel Islands in intercollegiate sports.
  • E. Dolphins
    The Dolphins are a professional rugby league team based in Redcliffe, Queensland, competing in Australia's National Rugby League (NRL) competition.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:15 p.m.