Triple

T14547423
Position Surface form Disambiguated ID Type / Status
Subject Global Handle Registry E341324 entity
Predicate partOf P40 FINISHED
Object Handle System E68554 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: Handle System | Statement: [Global Handle Registry, partOf, Handle System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handle System
Context triple: [Global Handle Registry, partOf, Handle System]
  • A. Handle System chosen
    The Handle System is a global, distributed identifier system designed to provide persistent, secure, and scalable resolution of digital object identifiers on the internet.
  • B. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • C. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • D. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • E. Handle
    Handle is a dynamic, wheeled-legged robot developed by Boston Dynamics for agile material handling and warehouse automation tasks.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ebdf9481909f4d2da1ad31099c completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.