Triple

T9820931
Position Surface form Disambiguated ID Type / Status
Subject Prime Computer E238527 entity
Predicate competition P563 FINISHED
Object Data General E229936 NE FINISHED

How this triple was built (2 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: Data General | Statement: [Prime Computer, competition, Data General]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Data General
Context triple: [Prime Computer, competition, Data General]
  • A. Data General chosen
    Data General was an American minicomputer manufacturer known for its Eclipse and Nova systems and as a key rival to companies like Digital Equipment Corporation during the 1970s and 1980s.
  • B. General
    A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
  • C. Data Ganj Bakhsh
    Data Ganj Bakhsh is a renowned 11th-century Persian Sufi saint and scholar, venerated especially in South Asia for his influential teachings and spiritual legacy.
  • D. General_Category
    General_Category is a Unicode character property that classifies characters into broad categories such as letters, numbers, punctuation, and symbols for text processing and analysis.
  • E. Libera Chat
    Libera Chat is a prominent free and open-source–focused IRC network that hosts real-time discussion channels for numerous software projects and online communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb313134081908eb0ba3a22b22e2b completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc78ffcc8190bb26a224350376dc completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.