Triple
T1975708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professional Securities Market |
E42905
|
entity |
| Predicate | geographicScopeOfIssuers |
P32986
|
FINISHED |
| Object | international issuers |
—
|
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: international issuers | Statement: [Professional Securities Market, geographicScopeOfIssuers, international issuers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicScopeOfIssuers Context triple: [Professional Securities Market, geographicScopeOfIssuers, international issuers]
-
A.
definedTerritoryOf
Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
-
B.
identificationScope
Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
-
C.
issuerIncorporationCountry
Indicates the country in which the issuing entity is legally incorporated.
-
D.
certificationScope
Indicates the specific range, domain, or subject matter that a given certification covers or applies to.
-
E.
countryOfJurisdiction
Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f835108190b0709ccf3a487a96 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb09b27e88190bff164040fef6d7e |
completed | March 7, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:36 p.m.