Triple

T4765398
Position Surface form Disambiguated ID Type / Status
Subject Dijkstra Prize in Distributed Computing E105796 entity
Predicate presentedAt P3021 FINISHED
Object DISC
DISC is a leading international conference focused on research in distributed computing and related areas of computer science.
 E467814 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: DISC | Statement: [Dijkstra Prize in Distributed Computing, presentedAt, DISC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DISC
Context triple: [Dijkstra Prize in Distributed Computing, presentedAt, DISC]
  • A. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • B. Dison
    Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
  • C. Di
    Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
  • D. DSC
    The Distinguished Service Cross (DSC) is a high-level military decoration awarded for extraordinary heroism in combat, primarily associated with the United States Army.
  • E. DSC
    DSC is a widely used introductory textbook on database systems that covers fundamental concepts such as data models, SQL, and database design.
  • 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: DISC
Triple: [Dijkstra Prize in Distributed Computing, presentedAt, DISC]
Generated description
DISC is a leading international conference focused on research in distributed computing and related areas of computer science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DISC
Target entity description: DISC is a leading international conference focused on research in distributed computing and related areas of computer science.
  • A. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • B. Dison
    Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
  • C. Di
    Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
  • D. DSC
    The Distinguished Service Cross (DSC) is a high-level military decoration awarded for extraordinary heroism in combat, primarily associated with the United States Army.
  • E. DSC
    DSC is a widely used introductory textbook on database systems that covers fundamental concepts such as data models, SQL, and database design.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6534d6b48190911c295b5601a762 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a87741081909380c51ba4efed92 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3d444b888190b2df7433502604ff completed March 21, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69be3dd31c648190bfdac15fb85cfec9 completed March 21, 2026, 6:42 a.m.
Created at: March 20, 2026, 1:21 p.m.