Triple

T20534561
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2017 E504158 entity
Predicate broadcastNetworkCanada P833 FINISHED
Object TSN NE NERFINISHED

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: TSN | Statement: [MLS Cup 2017, broadcastNetworkCanada, TSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSN
Context triple: [MLS Cup 2017, broadcastNetworkCanada, TSN]
  • A. TSN
    TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
  • B. TSN
    TSN is the IATA airport code for Tianjin Binhai International Airport, the main air gateway serving the city of Tianjin in northern China.
  • C. TSN
    TSN is the stock ticker symbol for Tyson Foods, Inc., a major American multinational food company known primarily for its meat processing and poultry products.
  • D. TSN chosen
    TSN is a major Canadian English-language sports television network known for broadcasting a wide range of professional and collegiate sports, including NBA games and other premier events.
  • E. ETSN
    ETSN is the ICAO airport code assigned to Neuburg Air Base, a military airfield in Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06df04081908fa95c6214f06093 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.