Triple

T21503244
Position Surface form Disambiguated ID Type / Status
Subject Networker Turbo E530530 entity
Predicate belongsToNetwork P2830 FINISHED
Object Network SouthEast Networker family E144340 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: Network SouthEast Networker family | Statement: [Networker Turbo, belongsToNetwork, Network SouthEast Networker family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Network SouthEast Networker family
Context triple: [Networker Turbo, belongsToNetwork, Network SouthEast Networker family]
  • A. Network SouthEast chosen
    Network SouthEast was a sector of British Rail responsible for operating commuter and regional passenger rail services in London and the South East of England during the late 20th century.
  • B. TNET
    TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
  • C. SNET
    SNET is El Salvador’s national agency responsible for territorial studies, including monitoring and research on geology, meteorology, and related environmental risks.
  • D. Nitelink
    Nitelink is Dublin’s late-night bus service network, providing after-hours public transport on key routes across the city and suburbs.
  • E. FieldNET
    FieldNET is a remote irrigation management and monitoring platform developed by Lindsay Corporation for agricultural water and equipment control.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5deb388190a89a1f94285b7e55 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e1414ca88190973fcd9d2866c883 completed May 17, 2026, 3:39 p.m.
Created at: April 16, 2026, 6:24 p.m.