Triple

T22062853
Position Surface form Disambiguated ID Type / Status
Subject BSF E545194 entity
Predicate interactsWith P3970 FINISHED
Object Home Subscriber Server NE NERFINISHED

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: Home Subscriber Server | Statement: [BSF, interactsWith, Home Subscriber Server]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Subscriber Server
Context triple: [BSF, interactsWith, Home Subscriber Server]
  • A. Home Subscriber Server chosen
    Home Subscriber Server is a core network database in mobile telecommunications that stores and manages subscriber profiles, authentication data, and service information for LTE/IMS networks.
  • B. Home Subscriber Server (HSS)
    The Home Subscriber Server (HSS) is a central database in 3GPP mobile networks that stores subscriber profiles and authentication data, enabling user identification, mobility management, and service authorization.
  • C. Connection Server
    Connection Server is a core VMware Horizon component that brokers and manages secure client connections to virtual desktops and applications.
  • D. Serving Gateway
    The Serving Gateway is a core network node in LTE/EPC architectures that routes and forwards user data packets between base stations and the packet data network.
  • E. Ray Serve
    Ray Serve is a scalable model serving library built on the Ray framework that enables deploying and managing machine learning models in production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285e8c688190b701e417893cc148 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.