Triple
T30955993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 恒隆广场 |
E788676
|
entity |
| Predicate | 零售定位 |
P80649
|
FINISHED |
| Object | 奢侈品与高端品牌 |
—
|
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: 奢侈品与高端品牌 | Statement: [恒隆广场, 零售定位, 奢侈品与高端品牌]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 零售定位 Context triple: [恒隆广场, 零售定位, 奢侈品与高端品牌]
-
A.
retailConcept
chosen
Indicates that one entity represents a retail-related concept, model, or framework that characterizes or defines the nature of another entity’s retail activity or context.
-
B.
merchantType
Indicates the category or classification of a merchant based on the type of goods or services they provide or the business model they operate under.
-
C.
mallType
Indicates the specific category or classification of a mall based on its characteristics or intended function.
-
D.
storefront
Indicates the physical or virtual front-facing location where a business presents and offers its goods or services to customers.
-
E.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:54 p.m.