Triple
T11651051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BKS |
E276903
|
entity |
| Predicate | industryOfUnderlyingIssuer |
P100187
|
FINISHED |
| Object | bookselling |
—
|
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: bookselling | Statement: [BKS, industryOfUnderlyingIssuer, bookselling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryOfUnderlyingIssuer Context triple: [BKS, industryOfUnderlyingIssuer, bookselling]
-
A.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
-
B.
underlyingAsset
Indicates that one asset serves as the fundamental reference or basis for the value, performance, or contractual terms of another financial instrument or derivative.
-
C.
underlyingConstituentsType
Indicates the type or category of fundamental components that make up or underlie a given entity or structure.
-
D.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
E.
hasUnderlyingIssuer
Indicates that one entity serves as the fundamental or primary issuer behind another entity, such as a financial instrument or structured product.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.