Triple
T5733804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2019 |
E126449
|
entity |
| Predicate | broadcastNetwork |
P833
|
FINISHED |
| Object | TSN |
E343998
|
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: TSN | Statement: [MLS Cup 2019, broadcastNetwork, TSN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSN Context triple: [MLS Cup 2019, broadcastNetwork, 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.
TSN1
chosen
TSN1 is a Canadian English-language sports television channel operated by The Sports Network, featuring live sports coverage, analysis, and related programming.
-
C.
Sportsnet
Sportsnet is a Canadian sports television network owned by Rogers Sports & Media that broadcasts a wide range of live sports, including Major League Baseball, NHL hockey, and other national and regional events.
-
D.
Réseau des sports
Réseau des sports is a Canadian French-language specialty television channel focused on broadcasting sports events and related programming.
-
E.
TSN Theatre
TSN Theatre is a dedicated screening venue within the Hockey Hall of Fame that showcases hockey-related films, highlights, and multimedia presentations.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02534288c8190807dcdd183fccfe5 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a931b3c819092119a1587625eb5 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.