Triple
T14374501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 0992.HK |
E356438
|
entity |
| Predicate | hasIssuerChineseName |
P84839
|
FINISHED |
| Object | 聯想集團有限公司 |
—
|
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: 聯想集團有限公司 | Statement: [0992.HK, hasIssuerChineseName, 聯想集團有限公司]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIssuerChineseName Context triple: [0992.HK, hasIssuerChineseName, 聯想集團有限公司]
-
A.
hasIssuerName
chosen
Indicates that an entity has a specific name identifying the party that issued it.
-
B.
hasIssuerCode
Indicates that an entity is associated with a specific issuer’s identifying code.
-
C.
hasIssuerPrimaryBusiness
Indicates that an entity’s main or primary line of business is identified or characterized by the associated business activity or classification.
-
D.
typicalIssuer
Indicates that one entity is the standard or commonly expected issuer (e.g., of a document, instrument, or credential) for another entity.
-
E.
isIssuedFor
Indicates that something (such as a document, order, or item) has been formally created, authorized, or provided for a specific purpose, recipient, or use.
- 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.