Triple

T8609975
Position Surface form Disambiguated ID Type / Status
Subject Calculate Linux E203892 entity
Predicate packageManager P5091 FINISHED
Object Portage E207177 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: Portage | Statement: [Calculate Linux, packageManager, Portage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portage
Context triple: [Calculate Linux, packageManager, Portage]
  • A. Portage chosen
    Portage is Gentoo Linux’s highly configurable source-based package management system that automates compiling, installing, and updating software.
  • B. Portage, Indiana
    Portage, Indiana is a city in northwestern Indiana near Lake Michigan, known as a key industrial and transportation hub within the Chicago metropolitan area.
  • C. Portage Valley
    Portage Valley is a scenic glacial valley in Southcentral Alaska known for its dramatic mountain views, numerous glaciers, and outdoor recreation opportunities.
  • D. Portage, Wisconsin
    Portage, Wisconsin is a small central Wisconsin city known historically as a key overland link between the Wisconsin and Fox rivers, which made it an important transportation and trade route.
  • E. Portage, Michigan
    Portage, Michigan is a suburban city in southwestern Michigan known for its proximity to Kalamazoo, extensive park and trail systems, and strong manufacturing and pharmaceutical industries.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ee96ac8190809817c403da2889 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbb9307c81909b31995c73728e91 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:25 p.m.