Triple
T28340979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhujiang New Town |
E717808
|
entity |
| Predicate | shoppingFeature |
P166481
|
FINISHED |
| Object | high-end malls |
—
|
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: high-end malls | Statement: [Zhujiang New Town, shoppingFeature, high-end malls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoppingFeature Context triple: [Zhujiang New Town, shoppingFeature, high-end malls]
-
A.
shopSection
Indicates the specific section or area within a shop where an item, activity, or service is located or takes place.
-
B.
featuresShop
Indicates that an entity prominently presents or includes a particular shop as one of its notable elements or offerings.
-
C.
shopSpecialty
Indicates that a shop primarily focuses on or is specially known for offering a particular type of product or service.
-
D.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
E.
usedInECommerce
Indicates that something is employed or applied within the context of electronic commerce activities or systems.
- F. None of above. chosen
Provenance (4 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 12:39 a.m.