Triple
T198923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IMAX |
E4058
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | TSX: IMAX |
E4058
|
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: TSX: IMAX | Statement: [IMAX, tradedAs, TSX: IMAX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSX: IMAX Context triple: [IMAX, tradedAs, TSX: IMAX]
-
A.
IMAX
chosen
IMAX is a high-resolution large-format cinema technology known for its giant screens, immersive sound, and specialized cameras used for premium theatrical presentations.
-
B.
Toronto Stock Exchange
The Toronto Stock Exchange is Canada's largest securities exchange and one of the biggest stock markets in the world by market capitalization.
-
C.
Chicago Stock Exchange
The Chicago Stock Exchange is a regional securities exchange in the United States that facilitates the trading of stocks and other financial instruments.
-
D.
NASDAQ
NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
-
E.
NASDAQ-100 Index
The NASDAQ-100 Index is a stock market index comprising 100 of the largest non-financial companies listed on the Nasdaq Stock Market, heavily weighted toward the technology sector.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcb2c7c8190b0e031e93651182a |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3232f11a08190ad532c68d9e8e2da |
completed | Feb. 28, 2026, 5:17 p.m. |
Created at: Feb. 28, 2026, 2:44 a.m.