Triple
T13084290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ^GSPTSE |
E310289
|
entity |
| Predicate | hasUnderlyingMarket |
P107958
|
FINISHED |
| Object | Toronto Stock Exchange listed stocks |
—
|
LITERAL 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: Toronto Stock Exchange listed stocks | Statement: [^GSPTSE, hasUnderlyingMarket, Toronto Stock Exchange listed stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingMarket Context triple: [^GSPTSE, hasUnderlyingMarket, Toronto Stock Exchange listed stocks]
-
A.
hasUnderlyingExchangeTicker
Indicates that one financial instrument is based on, or derives its value from, another instrument identified by a specific exchange ticker.
-
B.
hasUnderlyingIssuer
Indicates that one entity serves as the fundamental or primary issuer behind another entity, such as a financial instrument or structured product.
-
C.
underlyingInstrument
Indicates that one financial instrument serves as the reference or basis for the value, payoff, or structure of another financial instrument.
-
D.
hasUnderlyingLEI
Indicates that an entity is associated with, or identified by, a specific underlying Legal Entity Identifier (LEI).
-
E.
hasUnderlyingCompanySecondaryMarket
Indicates that an entity is associated with a secondary market that trades interests in its underlying company.
- F. None of above. chosen
Provenance (4 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:02 p.m.