Triple

T7897449
Position Surface form Disambiguated ID Type / Status
Subject System.Net E183371 entity
Predicate containsClass P9272 FINISHED
Object System.Net.ServicePoint E183371 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: System.Net.ServicePoint | Statement: [System.Net, containsClass, System.Net.ServicePoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: System.Net.ServicePoint
Context triple: [System.Net, containsClass, System.Net.ServicePoint]
  • A. System.Net chosen
    System.Net is a .NET namespace that provides classes for network programming, including HTTP communication, sockets, and other internet protocol support.
  • B. Windows Communication Foundation
    Windows Communication Foundation is a Microsoft framework for building and running service-oriented, distributed applications that communicate over various network protocols.
  • C. NET
    NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
  • D. NET
    NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
  • E. NET
    NET is the NCAA’s primary ranking system used to evaluate and seed college basketball teams for postseason tournaments.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a296db8819084c620b12f77acb5 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb24c8c8190860e4dd1d705b04b completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.