Triple

T5771127
Position Surface form Disambiguated ID Type / Status
Subject IP Multimedia Subsystem E127332 entity
Predicate hasComponent P35 FINISHED
Object Home Subscriber Server E523066 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: Home Subscriber Server | Statement: [IP Multimedia Subsystem, hasComponent, Home Subscriber Server]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Subscriber Server
Context triple: [IP Multimedia Subsystem, hasComponent, 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. 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.
  • C. 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.
  • D. Administration Server
    Administration Server is the central management and configuration control point for an Oracle WebLogic Server domain.
  • E. Networker
    Networker is a family of electric and diesel multiple-unit trains used on suburban and regional rail services in southeast England.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029ac21ec81908d88ba72e966d7cb completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e648aa881908411a00d48998ecc completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.