Triple
T3071560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Leaf Sports & Entertainment |
E64034
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | TFC II |
E325229
|
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: TFC II | Statement: [Maple Leaf Sports & Entertainment, hasSubsidiary, TFC II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFC II Context triple: [Maple Leaf Sports & Entertainment, hasSubsidiary, TFC II]
-
A.
TFC II
chosen
TFC II is a Canadian professional soccer reserve team that serves as the developmental squad for Toronto FC.
-
B.
TFC
TFC is a professional Major League Soccer club based in Toronto, Ontario, known for its passionate fan base and home matches at BMO Field.
-
C.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
D.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
E.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20354031c819081a0852fe7e181ab |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:02 p.m.