Triple
T31221086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 万达广场 |
E796009
|
entity |
| Predicate | 运营模式 |
P9632
|
FINISHED |
| Object | 统一招商管理 |
—
|
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: 统一招商管理 | Statement: [万达广场, 运营模式, 统一招商管理]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 运营模式 Context triple: [万达广场, 运营模式, 统一招商管理]
-
A.
operatingModel
chosen
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
B.
営業形態
Indicates the manner or mode in which a business operates or conducts its commercial activities.
-
C.
operatingPattern
Indicates the characteristic way in which an entity functions or operates over time, such as its typical mode, schedule, or behavioral pattern.
-
D.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
-
E.
operationalService
Indicates that one entity provides, performs, or is responsible for carrying out a particular service or operation for another entity.
- 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.