Triple

T20941260
Position Surface form Disambiguated ID Type / Status
Subject SEMITAN E515725 entity
Predicate manages P86 FINISHED
Object TAN network NE NERFINISHED

How this triple was built (3 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: TAN network | Statement: [SEMITAN, manages, TAN network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAN network
Context triple: [SEMITAN, manages, TAN network]
  • A. TRA network
    The TRA network is Taiwan’s conventional intercity and regional railway system operated by the Taiwan Railways Administration, connecting major cities and rural areas around the island.
  • B. TNET
    TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
  • C. Netze
    Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
  • 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. R-net
    R-net is a high-quality Dutch public transport network brand that unifies and standardizes premium bus, tram, metro, and train services across several regions in the Netherlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TAN network
Target entity description: The TAN network is the public transportation system serving the city of Nantes and its metropolitan area in France, encompassing buses, trams, and related transit services.
  • A. TRA network
    The TRA network is Taiwan’s conventional intercity and regional railway system operated by the Taiwan Railways Administration, connecting major cities and rural areas around the island.
  • B. TNET
    TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
  • C. Netze
    Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
  • 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. R-net
    R-net is a high-quality Dutch public transport network brand that unifies and standardizes premium bus, tram, metro, and train services across several regions in the Netherlands.
  • F. None of above. chosen

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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f955f0148190ae42278ad5c0f363 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.