Triple

T14436235
Position Surface form Disambiguated ID Type / Status
Subject Ting Stadium E357968 entity
Predicate namingRightsHolder P3318 FINISHED
Object Ting Internet E1099272 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: Ting Internet | Statement: [Ting Stadium, namingRightsHolder, Ting Internet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ting Internet
Context triple: [Ting Stadium, namingRightsHolder, Ting Internet]
  • A. Ting Internet chosen
    Ting Internet is a U.S.-based fiber internet service provider known for offering high-speed, gigabit broadband to residential and business customers in select communities.
  • B. Ting (technology company)
    Ting is a technology company best known for providing mobile and fiber internet services in the United States.
  • C. Nitelink
    Nitelink is Dublin’s late-night bus service network, providing after-hours public transport on key routes across the city and suburbs.
  • D. INETER
    INETER is Nicaragua’s national geophysical and meteorological institute responsible for monitoring volcanic, seismic, and other natural hazards across the country.
  • E. T-Com
    T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9148cf4481909082cc91b2f76218 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648b8f348190be11645b371b4102 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.