Triple
T17427142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIN Corporation |
E423768
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | WIN Television |
—
|
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: WIN Television | Statement: [WIN Corporation, owns, WIN Television]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIN Television Context triple: [WIN Corporation, owns, WIN Television]
-
A.
WIN Television
chosen
WIN Television is a major Australian regional television network that broadcasts a mix of local and national programming across numerous markets.
-
B.
WIN Television network
WIN Television network is a major Australian regional commercial television broadcaster that operates a network of stations affiliated with national networks to serve audiences outside the metropolitan markets.
-
C.
Win
"Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
-
D.
WIN
WIN is the National Rail station code for Winchester railway station in Hampshire, England.
-
E.
WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fcbf54819091babed0b9b05716 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.