Triple
T14232385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NL0010273215 |
E352782
|
entity |
| Predicate | underlyingIssuerIndustry |
P100187
|
FINISHED |
| Object | semiconductor equipment manufacturing |
—
|
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: semiconductor equipment manufacturing | Statement: [NL0010273215, underlyingIssuerIndustry, semiconductor equipment manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingIssuerIndustry Context triple: [NL0010273215, underlyingIssuerIndustry, semiconductor equipment manufacturing]
-
A.
industryOfUnderlyingIssuer
chosen
Indicates the industry sector to which the underlying issuer in a financial or contractual arrangement belongs.
-
B.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
-
C.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
D.
hasUnderlyingIssuer
Indicates that one entity serves as the fundamental or primary issuer behind another entity, such as a financial instrument or structured product.
-
E.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
- F. None of above.
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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622cdd6481908befa179a9675bb5 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.