Triple

T5480695
Position Surface form Disambiguated ID Type / Status
Subject Serving Gateway E123459 entity
Predicate hasAbbreviation P43 FINISHED
Object SGW
SGW is the Serving Gateway in LTE mobile networks, responsible for routing and forwarding user data packets between base stations and the core network.
 E523075 NE FINISHED

How this triple was built (4 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: SGW | Statement: [Serving Gateway, hasAbbreviation, SGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGW
Context triple: [Serving Gateway, hasAbbreviation, SGW]
  • A. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • B. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • C. SGH
    SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • D. osmo-sgsn
    osmo-sgsn is an open-source Serving GPRS Support Node implementation used in mobile networks, developed as part of the Osmocom project.
  • E. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SGW
Triple: [Serving Gateway, hasAbbreviation, SGW]
Generated description
SGW is the Serving Gateway in LTE mobile networks, responsible for routing and forwarding user data packets between base stations and the core network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGW
Target entity description: SGW is the Serving Gateway in LTE mobile networks, responsible for routing and forwarding user data packets between base stations and the core network.
  • A. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • B. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • C. SGH
    SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • D. osmo-sgsn
    osmo-sgsn is an open-source Serving GPRS Support Node implementation used in mobile networks, developed as part of the Osmocom project.
  • E. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • F. None of above. chosen

Provenance (5 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a95375881909ba730ad108eee8b completed March 22, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_69bf4afb47a88190a66de6b6c7d5c241 completed March 22, 2026, 1:50 a.m.
Created at: March 20, 2026, 2:09 p.m.