Triple

T12974983
Position Surface form Disambiguated ID Type / Status
Subject IBM HTTP Server E321499 entity
Predicate compatibleWith P203 FINISHED
Object IBM i E40472 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 i | Statement: [IBM HTTP Server, compatibleWith, IBM i]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM i
Context triple: [IBM HTTP Server, compatibleWith, IBM i]
  • A. IBM i chosen
    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.
  • B. AIX
    AIX is IBM’s proprietary Unix operating system designed for enterprise servers and high-reliability, scalable computing environments.
  • C. z/OS
    z/OS is IBM’s 64-bit mainframe operating system designed for high-volume, secure, and reliable enterprise computing workloads.
  • D. 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.
  • E. OS/390
    OS/390 is an IBM mainframe operating system that evolved from the MVS family, providing robust batch and transaction processing, high reliability, and enterprise-scale workload management.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:37 p.m.