Triple
T14374515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 0992.HK |
E356438
|
entity |
| Predicate | issuerBusinessFocus |
P105459
|
FINISHED |
| Object | PCs and smart devices |
—
|
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: PCs and smart devices | Statement: [0992.HK, issuerBusinessFocus, PCs and smart devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerBusinessFocus Context triple: [0992.HK, issuerBusinessFocus, PCs and smart devices]
-
A.
issuerBusinessType
chosen
Indicates the category or nature of business activity that the issuing entity is engaged in.
-
B.
underlyingCompanyBusinessFocus
Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
-
C.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
D.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
E.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.