Triple

T5480853
Position Surface form Disambiguated ID Type / Status
Subject 5G System E123462 entity
Predicate alsoKnownAs P39 FINISHED
Object 5GS E123462 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: 5GS | Statement: [5G System, alsoKnownAs, 5GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 5GS
Context triple: [5G System, alsoKnownAs, 5GS]
  • A. S5
    S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • B. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • C. 5G System chosen
    The 5G System is the overall fifth-generation mobile network architecture that integrates radio access, core network functions, and service platforms to deliver ultra-fast, low-latency, and highly reliable connectivity for diverse applications.
  • D. Nokia 5 series
    The Nokia 5 series is a line of mid-range Android smartphones known for their clean software, solid build quality, and value-focused design under the revived Nokia brand.
  • E. SGH
    SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • 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_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.
Created at: March 20, 2026, 2:09 p.m.