Triple
T30955987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 恒隆广场 |
E788676
|
entity |
| Predicate | 品牌形象 |
P5262
|
FINISHED |
| Object | 高端奢华 |
—
|
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: 高端奢华 | Statement: [恒隆广场, 品牌形象, 高端奢华]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 品牌形象 Context triple: [恒隆广场, 品牌形象, 高端奢华]
-
A.
brandImage
chosen
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
B.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
C.
brandingCategory
Indicates the classification of an entity into a specific branding-related category or type.
-
D.
brandIdentityReflects
Indicates that the characteristics, messaging, and visual elements of a brand accurately mirror or express a particular set of values, personality, or positioning.
-
E.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
- 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.