Triple
T3295401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sports Network |
E69201
|
entity |
| Predicate | hasChannelVersion |
P8080
|
FINISHED |
| Object |
TSN3
TSN3 is a Canadian English-language sports television channel operated as one of the regional feeds of The Sports Network (TSN).
|
E302215
|
NE FINISHED |
How this triple was built (4 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: TSN3 | Statement: [The Sports Network, hasChannelVersion, TSN3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSN3 Context triple: [The Sports Network, hasChannelVersion, TSN3]
-
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.
TSN2
TSN2 is a Canadian English-language sports television channel owned by The Sports Network (TSN) that broadcasts a wide range of live sporting events and related programming.
-
C.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
TPS
TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
-
E.
TPS
TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TSN3 Triple: [The Sports Network, hasChannelVersion, TSN3]
Generated description
TSN3 is a Canadian English-language sports television channel operated as one of the regional feeds of The Sports Network (TSN).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TSN3 Target entity description: TSN3 is a Canadian English-language sports television channel operated as one of the regional feeds of The Sports Network (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.
TSN2
chosen
TSN2 is a Canadian English-language sports television channel owned by The Sports Network (TSN) that broadcasts a wide range of live sporting events and related programming.
-
C.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
TPS
TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
-
E.
TPS
TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
- F. None of above.
Provenance (5 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb077c60c81909782be5202ce5a43 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86e867c8190a1e5042a4d4d92cb |
completed | March 12, 2026, 4:23 p.m. |
| NEDg | Description generation | batch_69b2e8e42ecc8190b81d1b64f9fba0c1 |
completed | March 12, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e954ec18819096f31feb9e985b6a |
completed | March 12, 2026, 4:27 p.m. |
Created at: March 8, 2026, 3:10 p.m.