Triple

T277393
Position Surface form Disambiguated ID Type / Status
Subject SAS E5277 entity
Predicate supportsOperatingSystem P5090 FINISHED
Object UNIX E34633 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: UNIX | Statement: [SAS, supportsOperatingSystem, UNIX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIX
Context triple: [SAS, supportsOperatingSystem, UNIX]
  • A. Unix chosen
    Unix is a powerful, multiuser, multitasking operating system originally developed in the 1970s that has profoundly influenced modern computing and inspired many derivative systems like Linux and macOS.
  • B. Linux
    Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
  • C. Unix shell
    A Unix shell is a command-line interpreter and scripting environment used on Unix and Unix-like systems to execute commands, run programs, and automate tasks.
  • D. USBOS
    USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
  • E. SGI
    SGI (Silicon Graphics, Inc.) was a pioneering American company known for its high-performance computing and advanced 3D graphics workstations and servers widely used in scientific visualization and visual effects.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a260d0dae48190a2ec98d0186fd792 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39153528c8190a0f1e69a3f94b305 completed March 1, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.