Triple
T30955979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 恒隆广场 |
E788676
|
entity |
| Predicate | 商圈 |
P20782
|
FINISHED |
| Object | 南京西路商圈 |
—
|
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: 南京西路商圈 | Statement: [恒隆广场, 商圈, 南京西路商圈]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 商圈 Context triple: [恒隆广场, 商圈, 南京西路商圈]
-
A.
commercialArea
chosen
Indicates that the location or region is designated primarily for commercial activities such as businesses, shops, or services.
-
B.
centralBusiness
Indicates that an entity functions as the primary commercial or economic hub (central business area or role) in relation to another entity.
-
C.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
D.
都市的性格
Indicates the characteristic qualities or distinctive personality that define a city’s overall atmosphere or identity.
-
E.
hasCommercialCenterType
Indicates that an entity has or is associated with a specific type or category of commercial center (e.g., mall, shopping district, business park).
- 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.