Triple
T31221079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 万达广场 |
E796009
|
entity |
| Predicate | 品牌定位 |
P5254
|
FINISHED |
| Object | 城市中心商业综合体 |
—
|
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: 城市中心商业综合体 | Statement: [万达广场, 品牌定位, 城市中心商业综合体]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 品牌定位 Context triple: [万达广场, 品牌定位, 城市中心商业综合体]
-
A.
brandPositioning
chosen
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
B.
brandingCategory
Indicates the classification of an entity into a specific branding-related category or type.
-
C.
brandingGoal
Indicates the strategic objective or desired outcome that an entity aims to achieve through its branding efforts.
-
D.
brandStrategy
Indicates the relationship in which a brand defines and guides how it will be positioned, communicated, and differentiated in the market to achieve its business goals.
-
E.
brandFocus
Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c4d35848190bd5a2dd81851bea3 |
completed | May 3, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:10 p.m.