Triple

T1831481
Position Surface form Disambiguated ID Type / Status
Subject Anaconda installer E40770 entity
Predicate targetPlatform P5090 FINISHED
Object IBM Z E37331 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: IBM Z | Statement: [Anaconda installer, targetPlatform, IBM Z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM Z
Context triple: [Anaconda installer, targetPlatform, IBM Z]
  • A. IBM System z chosen
    IBM System z is IBM’s family of mainframe computers known for high reliability, scalability, and support for enterprise workloads, including running Linux at large scale.
  • B. IBM Power Systems
    IBM Power Systems is IBM’s family of high-performance server computers designed for enterprise workloads, known for their reliability, scalability, and support for operating systems like IBM i, AIX, and Linux.
  • C. IBM i
    IBM i is IBM’s integrated operating system for its Power Systems servers, known for its built-in database, high reliability, and strong support for enterprise applications.
  • D. IBM System/390
    IBM System/390 is IBM’s family of 1990s mainframe computers that introduced 31-bit ESA/390 architecture and advanced enterprise computing features, forming the basis for later System z systems.
  • E. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb022aef48190975b6d12fc6681ad completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c39a448190923588d9c07313e1 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.